Computer vision’s purpose is to extract meaningful, contextual information from images often in real time. Vision solutions for process automation generally involve a mix of standard camera devices, software, robots and sensors that cannot adapt to changes in context without expert intervention.
At BitMetrics we integrate:
- Computer vision capabilities such as Deep Learning expertise and traditional machine vision for pattern recognition from images
- Mathematical Optimization and Machine Learning for robotic task programming (generally grasping)
- Proprietary databases (togehter with publicly available ones) that facilitate transfer learning for new projects
We specialize in computer vision solutions for dynamic work environments related to (random) bin picking, (random) grasping and classification in quality inspection processes.