Vision hardware design rules to reduce the cost price of your project

Gaspar van Elmbt, the managing director of VA-Imaging, had planned to give a presentation about cost reducing vision hardware design at the UKIVA this month. However, due to the Covid’19 virus this event got cancelled. The organization of this event managed to provide the visitors with all the presentations, included ours, on the ‘presentation hub’.

Table of contents
Here’s a summary of the core points:
1. SDK Selection:
Choosing the right software development kit (SDK) can significantly impact overall system costs. Van Elmbt highlighted the trade-offs between manufacturer-provided SDKs, open-source options and commercial solutions, emphasizing the need to balance flexibility and budget constraints.
2. Camera Interface Options:
The choice between USB3 and GigE interfaces was explored in detail:
o USB3: High bandwidth, minimal CPU usage, and ideal for shorter cable runs.
o GigE: Better suited for longer cable lengths and lower frame rate applications.
3. Sensor Selection:
Image sensors were identified as the primary cost driver in vision systems. Van Elmbt explained when to use global shutters versus rolling shutters based on application requirements, such as object motion and resolution needs.
4. Lens Optimization:
Lens selection plays a critical role in overall cost. Smaller sensors can leverage cost-efficient lenses, while M12 lenses offer another affordable alternative for specific projects.
Design Rules for Cost Optimization
• SDK Selection: Choose a versatile SDK supporting multiple platforms and programming languages.
• Interface Choice: Use USB3 for short cables and high bandwidth. Opt for GigE for long cable lengths or low frame rates.
• Sensor Resolution: Select global shutters for resolutions ≤1.3MP or rolling shutters for higher resolutions when applicable.
• Lens Type: Consider M12 lenses for high-volume projects or smaller sensors to save on lens costs.
Reducing the cost of machine vision hardware is about making informed decisions based on your specific project requirements. From selecting the right SDK to balancing sensor and lens performance, these design rules will guide you in achieving an optimal solution.