Electronic Waste Recycling

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Objective: Develop an automated system for detecting, classifying, and counting electronic waste products. Daily totals should be saved to a database for record-keeping purposes.

Solution: Deployed an IntelSight-based vision system over top on a pre-existing conveyor belt. Utilized custom-trained neural network to both accurately identify object types, and their manufacturer.

Status: Project is under development, with deployment scheduled for Q4 2022.

Future: Utilizing an IntelSort system to physically handle and sort identified items into separate bins.