The autonomous system is designed to solve a wide range of complex online inspection applications including optical character recognition (OCR), assembly verification, and defect detection.
"Sophisticated manufacturers are increasingly turning to deep learning-based vision to solve inspections that are too complex, time-consuming, or expensive to program using human vision or rule-based machine vision," said Joerg Kuechen, senior vice president of vision products at Cognex. "By integrating our ViDi deep learning software into In-Sight, customers can solve even the most complex visual inspections quickly, easily, and more cost-effectively.".
Combining the self-learning capabilities of a human inspector with the robustness and consistency of a vision system, the In-Sight D900 expands the boundaries of what can be inspected in factory automation. The system, which can be configured using a small number of sample images, leverages Cognex’s familiar and user-friendly spreadsheet platform and requires neither a PC nor extensive training for deployment.
The In-Sight D900 is ideal for automating complex inspection applications in a range of industries including automotive, consumer electronics, consumer products, packaging, food and beverage, medical devices, and logistics.
