{"title":"Structured Light Camera","description":"","products":[{"product_id":"va-3dc-p100r-3d-camera","title":"VA-3DC-P100R 3D Camera, Intel RealSense replacement, Structured Light, Polarized","description":"\u003ch2 style=\"color: black; text-align: left;\"\u003eVA-3DC-P100R 3D camera, industrial Intel RealSense replacement camera\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eThe VA-3DC-P100R is a 3D RGBD camera, using the same 3D technology as an Intel RealSense, but industrial and with polarized structured light to eliminate reflection issues. The 3D structured light camera is designed for environments where accuracy, reliability, and robust operation are critical. Featuring a new 940 nm single-polarization HCG VCSEL light source with an industry-leading 1000× polarization extinction ratio, it dramatically reduces glare and multipath interference caused by reflective surfaces (shiny floors), typically seen by devices such as the Intel RealSense.\u003c\/p\u003e\n\u003cp style=\"text-align: left;\"\u003eThe VA-3DC-P100R 3D camera delivers synchronous depth, color, and IR images (RGBD 3D camera) with high stability, making it an ideal sensor for robotics, logistics, industrial automation, and AIoT devices deployed both indoors and outdoors. The VA-3DC-P100R 3D camera is the ideal replacement for an Intel RealSense, making your solution more robust.\u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003eHow does a Polarized Structured Light 3D camera work?\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eStructured light is a proven method for high-accuracy 3D camera measurement:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eThe 3D camera projects a known polarized infrared dot pattern into the scene using its VCSEL polarized light source.\u003c\/li\u003e\n\u003cli\u003eSurfaces in the environment distort this light pattern based on their depth and geometry.\u003c\/li\u003e\n\u003cli\u003eThe onboard sensor captures these distortions and calculates precise depth maps through triangulation.\u003c\/li\u003e\n\u003cli\u003eDue to the polarization, all direct reflections from reflective surfaces can be filtered out, as these are still polarized.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp style=\"text-align: left;\"\u003eBecause the VA-3DC-P100R 3D camera combines this structured light approach with single-polarization optics, it delivers cleaner depth images in environments where conventional structured light or stereo depth 3D cameras fail — such as glossy plastics, glass, water, and metallic objects.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0577\/5242\/0486\/files\/3d_camera_polarized_working_principle_480x480.png?v=1761902495\" alt=\"3D camera working principle polarization\" style=\"margin-right: 40.4px; margin-bottom: 16px; margin-left: 40.4px; float: right;\"\u003e\u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003eWhy a polarized 3D camera and not an Intel RealSense?\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eDepth sensing accuracy often suffers when shiny or glossy surfaces cause multipath interference, where light bounces multiple times before reaching the sensor. This typically occurs with an Intel RealSense 3D camera.\u003c\/p\u003e\n\u003cp style=\"text-align: left;\"\u003eThe VA-3DC-P100R solves this with single-polarization VCSEL technology:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEmitted light is strictly polarized in one orientation.\u003c\/li\u003e\n\u003cli\u003eDirect reflections from matte surfaces maintain this orientation and are detected as valid signals.\u003c\/li\u003e\n\u003cli\u003eSecondary reflections from glass, metal, or glossy plastic typically change polarization.\u003c\/li\u003e\n\u003cli\u003eThe sensor rejects this misaligned light, filtering out false depth data.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 style=\"color: black; text-align: left;\"\u003eMultipath reflection example\u003c\/h3\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0577\/5242\/0486\/files\/Multipath_reflection_example_VA-3DC-P100R.webp?v=1773741980\" alt=\"Multipath reflection example of the VA-3DC-P100R\" style=\"margin-bottom: 16px; float: none;\"\u003eWall corners are a challenging case for traditional 3D cameras because multi-path reflections can distort depth readings. In this indoor corner test, with the camera mounted at a 45° downward angle, 0.24 m high and 0.7 m from the target, the stereo vision camera incorrectly perceives the wall as extending below the floor, while the iToF camera distorts the floor into a curved surface. VA-3DC-P100R 3D camera, by contrast, captures the corner with a complete and accurate shape, demonstrating cleaner depth maps and more reliable performance in reflective industrial environments.\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003c\/div\u003e\n\u003cp style=\"text-align: left;\"\u003eThis means that our VA-3DC-P100R 3D camera creates cleaner depth maps, sharper object edges, and reliable detection in industrial environments compared to an Intel RealSense 3D camera.\u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003eWhy Choose VA-3DC-P100R Over Intel RealSense D435\/D455 3D camera?\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSuperior Reflection Handling:\u003c\/strong\u003e RealSense models like the D435\/D455 often struggle with shiny or transparent materials. The VA-3DC-P100R’s polarization filtering minimizes multipath noise, delivering consistent and reliable depth maps.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong style=\"font-size: 0.875rem;\"\u003eGreater Depth Accuracy:\u003c\/strong\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e ±1 mm at 60 cm — significantly tighter than the typical depth noise of RealSense 3D cameras in the same range.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong style=\"font-size: 0.875rem;\"\u003eOptimized for Indoor \u0026amp; Outdoor:\u003c\/strong\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e VA-3DC-P100R maintains stable performance even in bright sunlight or reflective indoor spaces, where RealSense 3D cameras often degrade.\u003c\/span\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg style=\"margin-bottom: 16px; float: none;\" alt=\"Comparison of the VA-3DC-P100R with other 3D cameras\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0577\/5242\/0486\/files\/Comparison_of_the_VA-3DC-P100R.webp?v=1773741989\"\u003e\u003c\/div\u003e\n\u003cp\u003eIn both scenes, the VA-3DC-P100R polarized structured light camera delivers a cleaner, more complete depth map than a conventional stereo vision 3D camera. While strong floor and wall reflections create missing data and multipath artifacts in the stereo depth maps, the VA-3DC-P100R maintains stable, reliable depth performance with far fewer black spots and significantly reduced reflection-induced errors. \u003cem\u003eNote: In the lower scene, the AGV is absent from the VA-3DC-P100R depth map because it moved during capture at the customer site.\u003c\/em\u003e\u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003eFootprint Compatibility with Intel RealSense 3D camera\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eThe VA-3DC-P100R 3D camera is designed with a 90×25×25 mm housing, closely matching the footprint of several popular Intel RealSense modules:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntel RealSense D435 (90 mm × 25 mm × 25 mm)\u003c\/li\u003e\n\u003cli\u003eIntel RealSense D435i (same housing as D435, with integrated IMU)\u003c\/li\u003e\n\u003cli\u003eIntel RealSense D415 (similar length, slightly different FOV but same overall factor)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp style=\"text-align: left;\"\u003eThis makes the VA-3DC-P100R a drop-in mechanical replacement for systems already designed around the D400-series footprint — with the added benefits of polarization-enhanced optics, improved depth accuracy, and industrial quality.\u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003eComparison: VA-3DC-P100R vs Intel RealSense D435 \/ D435i \/ D415\u003c\/h2\u003e\n\u003ctable style=\"mso-cellspacing: 1.5pt; mso-yfti-tbllook: 1184;\" cellpadding=\"0\" cellspacing=\"3\" border=\"0\" class=\"MsoNormalTable\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"mso-yfti-irow: 0; mso-yfti-firstrow: yes;\"\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eSpecification\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cstrong\u003eVA-3DC-P100R\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eIntel RealSense D435 \/ D435i\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eIntel RealSense D415\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"mso-yfti-irow: 1;\"\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eDimensions (L × W × H)\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e90 × 25 × 25 mm\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e90 × 25 × 25 mm\u003c\/span\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e99 × 23 × 20 mm\u003c\/span\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 3;\"\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eDepth Accuracy \/ Error\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u0026lt;1 mm @ 60 cm \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u0026lt;\u003c\/span\u003e\u003c\/b\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e 2.5mm @ 60cm\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u0026lt;2mm @60cm\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 5;\"\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cstrong\u003eFOV\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e72x50\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e91x65\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e69x24\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 6;\"\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cstrong\u003eDistortion\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u0026lt;1%\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u0026lt;1.5%\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u0026lt;1.5%\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 7; mso-yfti-lastrow: yes;\"\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e~ 72 g\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e~ 72 g\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e~ 72 g \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3 style=\"color: black; text-align: left;\"\u003eWhat's Included\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eVA-3DC-P100R 3D Camera\u003c\/li\u003e\n\u003cli\u003e1-meter non-locking USB-C cable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003e3D camera applications\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eTypical applications for 3D cameras using structured light such as the VA-3DC-P100R or Intel RealSense are:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eRobotics (service, logistics, industrial)\u003c\/li\u003e\n\u003cli\u003eAIoT and machine vision inspection systems\u003c\/li\u003e\n\u003cli\u003eDrones and AGVs for navigation \u0026amp; mapping\u003c\/li\u003e\n\u003cli\u003eAugmented \u0026amp; virtual reality systems\u003c\/li\u003e\n\u003cli\u003eHuman–machine interaction and gesture control\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp style=\"text-align: left;\"\u003eDo you need support in selecting the best camera for your application? \u003ca href=\"\/en-ca\/pages\/contact\" title=\"Contact page\"\u003ePlease contact us\u003c!--\n--\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"VA Imaging","offers":[{"title":"Default Title","offer_id":42524726263942,"sku":"VA-3DC-P100R","price":262.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0577\/5242\/0486\/files\/VA-3DC-P100R_3D_Camera_1.webp?v=1770020855"},{"product_id":"va-3dc-p100e-3d-camera","title":"VA-3DC-P100E 3D Camera, IP67, Ethernet, Intel RealSense D555 replacement","description":"\u003ch2 style=\"color: black; text-align: left;\"\u003eVA-3DC-P100E 3D camera, industrial IP67 ethernet camera that can replace the Intel RealSense D555 \u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003e\u003cspan style=\"color: rgb(255, 255, 0);\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eThe VA-3DC-P100E is an IP67 3D camera, using similar 3D technology as an Intel RealSense D555, but with ethernet and with polarized structured light to eliminate reflection issues. The IP67 structured light 3D camera is designed for environments where accuracy, reliability, and robust operation are critical. Featuring a new 940 nm single-polarization HCG VCSEL light source with an industry-leading 1000× polarization extinction ratio\u003c\/span\u003e,\u003c\/span\u003e\u003c\/span\u003eit dramatically reduces glare and multipath interference caused by reflective surfaces (shiny floors), typically seen by 3D cameras such as the Intel RealSense.\u003c\/p\u003e\n\u003cp style=\"text-align: left;\"\u003eThe VA-3DC-P100E 3D camera delivers synchronous depth, color, and IR images (RGBD 3D camera) with high stability, making it an ideal sensor for robotics, logistics, industrial automation, and AIoT devices deployed both indoors and outdoors. The VA-3DC-P100E 3D camera is the ideal replacement for an Intel RealSense, making your solution more robust. The camera is delivered with 1-meter 4-pin and 8-pin cables, enabling fast and straightforward integration. \u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003eHow does a Polarized Structured Light 3D camera work?\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eStructured light is a proven method for high-accuracy 3D camera measurement:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eThe 3D camera projects a known polarized infrared dot pattern into the scene using its VCSEL polarized light source.\u003c\/li\u003e\n\u003cli\u003eSurfaces in the environment distort this light pattern based on their depth and geometry.\u003c\/li\u003e\n\u003cli\u003eThe onboard sensor captures these distort\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eions and calculates precise depth maps through triangulation.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003eDue to the polarization, all direct reflections from reflective surfaces can be filtered out, as these are still polarized.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eBecause the VA-3DC-P100E 3D camera combines this structured light approach with single-polarization optics, it delivers cleaner depth images in environments where conventional structured light or stereo depth 3D cameras fail — such as glossy plastics, gla\u003c\/span\u003ess, water, and metallic objects.\u003c\/p\u003e\n\u003cp\u003e\u003cimg style=\"margin-right: 40.4px; margin-bottom: 16px; margin-left: 40.4px; float: right;\" alt=\"3D camera working principle polarization\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0577\/5242\/0486\/files\/3d_camera_polarized_working_principle_480x480.png?v=1761902495\"\u003e\u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003eWhy a polarized IP67 3D camera and not an Intel RealSense?\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eFor non polarized IP67 3D cameras, depth sensing accuracy often suffers when shiny or glossy surfaces cause multipath interference, where light bounces multiple times before reaching the sensor. This typically occurs with an Intel RealSense 3D camera.\u003c\/p\u003e\n\u003cp style=\"text-align: left;\"\u003eThe VA-3DC-P100E solves this with single-polarization VCSEL technology:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eEmitted light is strictly polarized in one orientation.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003eDirect reflections from matte surfaces maintain this orientation and are detected as valid signals.\u003c\/li\u003e\n\u003cli\u003eSecondary reflections from glass, metal, or glossy plastic typically change polarization.\u003c\/li\u003e\n\u003cli\u003eThe sensor rejects this misaligned light, filtering out false depth data.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 style=\"color: black; text-align: left;\"\u003eMultipath reflection example\u003c\/h3\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0577\/5242\/0486\/files\/P100E_Comparison_1.webp?v=1773743144\" alt=\"Multipath reflection example VA-3DC-P100E\" style=\"margin-bottom: 16px; float: none;\"\u003eWall corners are a challenging case for traditional 3D cameras because multi-path reflections can distort depth readings. In this indoor corner test, with the camera mounted at a 45° downward angle, 0.24 m high and 0.7 m from the target, the stereo vision camera incorrectly perceives the wall as extending below the floor, while the iToF camera distorts the floor into a curved surface. VA-3DC-P100E 3D camera, by contrast, captures the corner with a complete and accurate shape, demonstrating cleaner depth maps and more reliable performance in reflective industrial environments.\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cp style=\"text-align: left;\"\u003eThis means that our VA-3DC-P100E 3D camera creates cleaner depth maps, sharper object edges, and reliable detection in industrial environments compared to an Intel RealSense 3D camera.\u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003eWhy Choose VA-3DC-P100E Over Intel RealSense D555 3D camera?\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eIP67: \u003c\/strong\u003eIdeal for outdoor situations\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong style=\"font-size: 0.875rem;\"\u003eEthernet: \u003c\/strong\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003eLonger cable lengths up to 100meters, making it ideal for robotic applications\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong style=\"font-size: 0.875rem;\"\u003eSuperior Reflection Handling:\u003c\/strong\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e RealSense models like the D555 often struggle with shiny or transparent materials. The VA-3DC-P100E’s polarization filtering minimizes multipath noise, delivering consistent and reliable depth maps.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong style=\"font-size: 0.875rem;\"\u003eGreater Depth Accuracy:\u003c\/strong\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e ±1 mm at 60 cm — significantly tighter than the typical depth noise of RealSense 3D cameras in the same range.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong style=\"font-size: 0.875rem;\"\u003eOptimized for Indoor \u0026amp; Outdoor:\u003c\/strong\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e VA-3DC-P100E maintains stable performance even in bright sunlight or reflective indoor spaces, where RealSense 3D cameras often degrade.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0577\/5242\/0486\/files\/P100E_Comparison_2_2.webp?v=1773743153\" alt=\"Comparison: VA-3DC-P100E vs Intel RealSense D555\" style=\"margin-bottom: 16px; float: none;\"\u003e\u003c\/div\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eIn both scenes, the VA-3DC-P100E 3D polarized structured light camera delivers a cleaner, more complete depth map than a conventional stereo vision 3D camera. While strong floor and wall reflections create missing data and multipath artifacts in the stereo depth maps, the VA-3DC-P100E 3D maintains stable, reliable depth performance with far fewer black spots and significantly reduced reflection-induced errors. \u003cem\u003eNote: In the lower scene, the AGV is absent from the VA-3DC-P100R depth map because it moved during capture at the customer site.\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eComparison: VA-3DC-P100E vs Intel RealSense D555\u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable class=\"MsoNormalTable\" border=\"0\" cellspacing=\"3\" cellpadding=\"0\" style=\"width: 97.6302%; height: 327.361px;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"height: 74.7396px;\"\u003e\n\u003ctd style=\"padding: 0.75pt; width: 36.9659%; height: 74.7396px;\"\u003e\n\u003cp\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 24.1486%; height: 74.7396px;\"\u003e\n\u003cp\u003e\u003cstrong\u003eVA-3DC-P100E\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 38.0805%; height: 74.7396px;\"\u003e\n\u003cp\u003e\u003cstrong\u003eIntel RealSense D555\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 55.1389px;\"\u003e\n\u003ctd style=\"padding: 0.75pt; width: 36.9659%; height: 55.1389px;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003e\u003cb\u003eDimensions (L × W × H)\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: 0.75pt; width: 24.1486%; height: 55.1389px;\"\u003e\n\u003cp\u003e90 × 60 × 37 mm\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: 0.75pt; width: 38.0805%; height: 55.1389px;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\"\u003e167 x 42 x 48 mm\u003c\/span\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e \u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1389px;\"\u003e\n\u003ctd style=\"padding: 0.75pt; width: 36.9659%; height: 55.1389px;\"\u003e\n\u003cp\u003e\u003cstrong\u003eInterface\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"height: 55.1389px;\"\u003e\n\u003cp\u003e\u003cspan lang=\"EN-US\"\u003eEthernet\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: 0.75pt; width: 38.0805%; height: 55.1389px;\"\u003e\n\u003cp\u003eEthernet\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5903px;\"\u003e\n\u003ctd style=\"padding: 0.75pt; width: 36.9659%; height: 35.5903px;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"background-color: rgb(255, 255, 255); color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eIP-Rating\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: 0.75pt; width: 24.1486%; height: 35.5903px;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eIP67\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: 0.75pt; width: 38.0805%; height: 35.5903px;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eIP65\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5903px;\"\u003e\n\u003ctd style=\"padding: 0.75pt; width: 36.9659%; height: 35.5903px;\"\u003e\n\u003cp\u003e\u003cstrong\u003eFOV\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e72x50\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: 0.75pt; width: 38.0805%; height: 35.5903px;\"\u003e\n\u003cp\u003e87x58\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5729px;\"\u003e\n\u003ctd style=\"padding: 0.75pt; width: 36.9659%; height: 35.5729px;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003e\u003cstrong\u003eIdeal Range\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: 0.75pt; width: 24.1486%; height: 35.5729px;\"\u003e\n\u003cp\u003e0.3-8.0 m\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: 0.75pt; width: 38.0805%; height: 35.5729px;\"\u003e\n\u003cp\u003e0.6-6.0 m\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5903px;\"\u003e\n\u003ctd style=\"padding: 0.75pt; width: 36.9659%; height: 35.5903px;\"\u003e\n\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: 0.75pt; width: 24.1486%; height: 35.5903px;\"\u003e\n\u003cp\u003e~ 212 g\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e~ 337 g\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eWhat's Included\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eVA-3DC-P100E 3D Camera\u003c\/li\u003e\n\u003cli\u003e4-pin cable (1 meter)\u003c\/li\u003e\n\u003cli\u003e8-pin cable (1 meter)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003eIP67 3D camera applications\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eTypical applications for IP67 3D cameras using structured light such as the VA-3DC-P100E are:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eRobotics (service, logistics, industrial)\u003c\/li\u003e\n\u003cli\u003eMachine vision inspection systems\u003c\/li\u003e\n\u003cli\u003eDrones and AGVs for navigation \u0026amp; mapping\u003c\/li\u003e\n\u003cli\u003eAugmented \u0026amp; virtual reality systems\u003c\/li\u003e\n\u003cli\u003eHuman–machine interaction and gesture control\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp style=\"text-align: left;\"\u003eDo you need support in selecting the best IP67 3D camera for your application? \u003ca title=\"Contact page\" href=\"\/en-ca\/pages\/contact\"\u003ePlease contact us\u003c!--\n--\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"VA Imaging","offers":[{"title":"Default Title","offer_id":42567250837638,"sku":"VA-3DC-P100E","price":384.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0577\/5242\/0486\/files\/VA-3DC-P100E_3D_Camera_1.webp?v=1770020904"},{"product_id":"va-3dc-p050-3d-camera","title":"VA-3DC-P050 3D Camera, Intel RealSense replacement, Structured Light, Polarized","description":"\u003ch2 style=\"color: black; text-align: left;\"\u003eVA-3DC-P050 3D camera, industrial Intel RealSense replacement camera\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eThe VA-3DC-P050 is a 3D RGBD camera, using the same 3D technology as an Intel RealSense, but industrial and with polarized structured light to eliminate reflection issues. The 3D structured light camera is designed for environments where accuracy, reliability, and robust operation are critical. Featuring a new 940 nm single-polarization HCG VCSEL light source with an industry-leading 1000× polarization extinction ratio, it dramatically reduces glare and multipath interference caused by reflective surfaces (shiny floors), typically seen by devices such as the Intel RealSense.\u003c\/p\u003e\n\u003cp style=\"text-align: left;\"\u003eThe VA-3DC-P050 3D camera delivers synchronous depth, color, and IR images (RGBD 3D camera) with high stability, making it an ideal sensor for robotics, logistics, industrial automation, and AIoT devices deployed both indoors and outdoors. The VA-3DC-P050 3D camera is the ideal replacement for an Intel RealSense, making your solution more robust.\u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003eHow does a Polarized Structured Light 3D camera work?\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eStructured light is a proven method for high-accuracy 3D camera measurement:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eThe 3D camera projects a known polarized infrared dot pattern into the scene using its VCSEL polarized light source.\u003c\/li\u003e\n\u003cli\u003eSurfaces in the environment distort this light pattern based on their depth and geometry.\u003c\/li\u003e\n\u003cli\u003eThe onboard sensor captures these distortions and calculates precise depth maps through triangulation.\u003c\/li\u003e\n\u003cli\u003eDue to the polarization, all direct reflections from reflective surfaces can be filtered out, as these are still polarized.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp style=\"text-align: left;\"\u003eBecause the VA-3DC-P050 3D camera combines this structured light approach with single-polarization optics, it delivers cleaner depth images in environments where conventional structured light or stereo depth 3D cameras fail — such as glossy plastics, glass, water, and metallic objects.\u003c\/p\u003e\n\u003cp\u003e\u003cimg style=\"margin-right: 40.4px; margin-bottom: 16px; margin-left: 40.4px; float: right;\" alt=\"3D camera working principle polarization\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0577\/5242\/0486\/files\/3d_camera_polarized_working_principle_480x480.png?v=1761902495\"\u003e\u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003eWhy a polarized 3D camera and not an Intel RealSense?\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eDepth sensing accuracy often suffers when shiny or glossy surfaces cause multipath interference, where light bounces multiple times before reaching the sensor. This typically occurs with an Intel RealSense 3D camera.\u003c\/p\u003e\n\u003cp style=\"text-align: left;\"\u003eThe VA-3DC-P050 solves this with single-polarization VCSEL technology:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEmitted light is strictly polarized in one orientation.\u003c\/li\u003e\n\u003cli\u003eDirect reflections from matte surfaces maintain this orientation and are detected as valid signals.\u003c\/li\u003e\n\u003cli\u003eSecondary reflections from glass, metal, or glossy plastic typically change polarization.\u003c\/li\u003e\n\u003cli\u003eThe sensor rejects this misaligned light, filtering out false depth data.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 style=\"color: black; text-align: left;\"\u003eMultipath reflection example\u003c\/h3\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0577\/5242\/0486\/files\/VA-3DC-P050_comparison_2.webp?v=1773745307\" alt=\"VA-3DC-P050 comparison\" style=\"float: none;\"\u003e\u003c\/div\u003e\n\u003cp style=\"text-align: left;\"\u003eWall corners are a challenging case for traditional 3D cameras because multi-path reflections can distort depth readings. In this indoor corner test, with the camera mounted at a 45° downward angle, 0.24 m high and 0.7 m from the target, the stereo vision camera incorrectly perceives the wall as extending below the floor, while the iToF camera distorts the floor into a curved surface. VA-3DC-P050 3D camera, by contrast, captures the corner with a complete and accurate shape, demonstrating cleaner depth maps and more reliable performance in reflective industrial environments.\u003c\/p\u003e\n\u003cp style=\"text-align: left;\"\u003eThis means that our VA-3DC-P050 3D camera creates cleaner depth maps, sharper object edges, and reliable detection in industrial environments compared to an Intel RealSense 3D camera.\u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003eWhy Choose VA-3DC-P050 Over Intel RealSense D435\/D455 3D camera?\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSuperior Reflection Handling:\u003c\/strong\u003e RealSense models like the D435\/D455 often struggle with shiny or transparent materials. The VA-3DC-P050’s polarization filtering minimizes multipath noise, delivering consistent and reliable depth maps.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong style=\"font-size: 0.875rem;\"\u003eGreater Depth Accuracy:\u003c\/strong\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e ±1 mm at 60 cm — significantly tighter than the typical depth noise of RealSense 3D cameras in the same range.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong style=\"font-size: 0.875rem;\"\u003eOptimized for Indoor \u0026amp; Outdoor:\u003c\/strong\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e VA-3DC-P050 maintains stable performance even in bright sunlight or reflective indoor spaces, where RealSense 3D cameras often degrade.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0577\/5242\/0486\/files\/VA-3DC-P050_comparison.webp?v=1773745311\" alt=\"VA-3DC-P050 comparison with Intel RealSense\" style=\"margin-bottom: 16px; float: none;\"\u003e\u003c\/div\u003e\n\u003cp style=\"color: black; text-align: left;\"\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eIn both scenes, the VA-3DC-P050 polarized structured light camera delivers a cleaner, more complete depth map than a conventional stereo vision 3D camera. While strong floor and wall reflections create missing data and multipath artifacts in the stereo depth maps, the VA-3DC-P050 maintains stable, reliable depth performance with far fewer black spots and significantly reduced reflection-induced errors. \u003cem\u003eNote: In the lower scene, the AGV is absent from the VA-3DC-P050 depth map because it moved during capture at the customer site.\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003eFootprint Compatibility with Intel RealSense 3D camera\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eThe VA-3DC-P050 3D camera is designed with a 90×25×25 mm housing, closely matching the footprint of several popular Intel RealSense modules:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntel RealSense D435 (90 mm × 25 mm × 25 mm)\u003c\/li\u003e\n\u003cli\u003eI\u003cspan style=\"font-size: 0.875rem;\"\u003entel RealSense D435i (same housing as D435, with integrated IMU)\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003eIntel RealSense D415 (similar length, slightly different FOV but same overall factor)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp style=\"text-align: left;\"\u003eThis makes the VA-3DC-P050 a drop-in mechanical replacement for systems already designed around the D400-series footprint — with the added benefits of polarization-enhanced optics, improved depth accuracy, and industrial quality.\u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003eComparison: VA-3DC-P050 vs Intel RealSense D435 \/ D435i \/ D415\u003c\/h2\u003e\n\u003ctable class=\"MsoNormalTable\" border=\"0\" cellspacing=\"3\" cellpadding=\"0\" style=\"mso-cellspacing: 1.5pt; mso-yfti-tbllook: 1184;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"mso-yfti-irow: 0; mso-yfti-firstrow: yes;\"\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eSpecification\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cstrong\u003eVA-3DC-P050\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eIntel RealSense D435 \/ D435i\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eIntel RealSense D415\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"mso-yfti-irow: 1;\"\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eDimensions (L × W × H)\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e90 × 25 × 25 mm\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e90 × 25 × 25 mm\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e99 × 23 × 20 mm\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 3;\"\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003eDepth Accuracy \/ Error\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e1% @ 50 cm \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e\u0026lt;\u003c\/span\u003e\u003c\/b\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e 2.5mm @ 60cm\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e\u0026lt;2mm @60cm\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 5;\"\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cstrong\u003eFOV\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e77x55\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e91x65\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e69x24\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 6;\"\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cstrong\u003eDistortion\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u0026lt;1.5%\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u0026lt;1.5%\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e\u0026lt;1.5%\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"mso-yfti-irow: 7; mso-yfti-lastrow: yes;\"\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e~ 72 g\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e~ 72 g\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"padding: .75pt .75pt .75pt .75pt;\"\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e~ 72 g \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3 style=\"color: black; text-align: left;\"\u003eWhat's included\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eVA-3DC-P050 3D Camera\u003c\/li\u003e\n\u003cli\u003e1-meter non-locking USB-C Cable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"color: black; text-align: left;\"\u003e3D camera applications\u003c\/h2\u003e\n\u003cp style=\"text-align: left;\"\u003eTypical applications for 3D cameras using structured light such as the VA-3DC-P050 or Intel RealSense are:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eRobotics (service, logistics, industrial)\u003c\/li\u003e\n\u003cli\u003eAIoT and machine vision inspection systems\u003c\/li\u003e\n\u003cli\u003eDrones and AGVs for navigation \u0026amp; mapping\u003c\/li\u003e\n\u003cli\u003eAugmented \u0026amp; virtual reality systems\u003c\/li\u003e\n\u003cli\u003eHuman–machine interaction and gesture control\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp style=\"text-align: left;\"\u003eDo you need support in selecting the best camera for your application? \u003ca title=\"Contact page\" href=\"\/en-ca\/pages\/contact\"\u003ePlease contact us\u003c!--\n--\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"VA Imaging","offers":[{"title":"Default Title","offer_id":43065034375302,"sku":"VA-3DC-P050","price":292.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0577\/5242\/0486\/files\/VA-3DC-P050_Front_2.webp?v=1770021003"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0577\/5242\/0486\/collections\/Structured_Light_Camera.webp?v=1779955742","url":"https:\/\/va-imaging.com\/en-ca\/collections\/camera-structured-light.oembed","provider":"VA Imaging","version":"1.0","type":"link"}