Objective: Develop an automated system for classifying printer products by their type, such as toner cartridge, ink bottle, as well as OEM manufacturer (e.g., HP, Xerox, etc.). 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 and count object types, and their manufacturer.
Status: Company improved their productivity by increasing total throughput and data collection accuracy. System retrained to include identification for additional items outside of original scope.
Future: Utilizing an IntelSort system to physically handle and sort identified items into separate bins.
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