VisionCount — AI Container Recognition
AI-powered machine vision and container recognition for recycling workflows.
VisionCount bridges physical recycling lines with state-of-the-art computer vision. Engineered to identify and tally bottles, cans, and cartons in real-world depot conditions, VisionCount eliminates human counting errors, relieves operator mental fatigue, and provides provable audit accuracy for high-volume recycling facilities.
Engineered, Deployed & Maintained by Ideaz
Ideaz Technologies designs the optical hardware configurations, trains the machine learning models on real operational datasets, manufactures the mounting systems, and manages on-site depot calibrations.
Key Operational Capabilities
Designed to deliver measurable accuracy, reduce operator fatigue, and keep transaction flow moving.
Industrial Computer Vision
High-frame-rate optical sensors that identify containers regardless of crushed shapes, peeling labels, wet surfaces, or dynamic lighting conditions.
Edge-Inference Architecture
Classifies containers in real-time on local industrial hardware without relying on persistent internet connection or remote cloud delays.
Real-Time Visual Validation
Instant operator feedback showing detected item boundaries, material types, deposit tiers, and rolling tally counts.
Seamless Solum POR Integration
Pushes verified container tallies directly into the customer's point-of-return ticket without requiring manual tally keypad entry.
Hardware Specifications & Field Installation
Ideaz provisions, pre-configures, and tests all physical components in our Alberta lab before delivering turnkey installations to your site.
Stocked Parts & Peripherals for VisionCount
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Visit the standalone VisionCount website for full platform features, customer portals, and dedicated documentation.