Objective: Develop an automated system for classifying Hazardous and Special Products (HSP) by their chemical type, as well as OEM manufacturer, and reduce the amount of human interaction for a healthier and safer work environment. Daily totals are to be recorded and saved to a database for record-keeping purposes.
Solution: IntelSight-based quad-camera scanner able to photograph all sides of a can at once, identify type and OEM using neural network, then sort cans using diverters on a conveyor belt.
Status: Proof-of-concept for vision system successfully trialed in a customer facility.
Future: Development of a full-fledged prototype and expand neural network capabilities with more data.
1/3
We use cookies to provide you with the best possible service. By using our website, you consent to the use of cookies.