Detect contamination, zinc risk, furnace compatibility, and recycling value using AI-powered computer vision.
EfficientNet-B0 ONNX model classifies 6 ferrous scrap grades (HMS-1, HMS-2, Galvanized, Stainless, Non-ferrous, Mixed) directly in the browser — no server round-trip.
Detects galvanized steel contamination and predicts Electric Arc Furnace Dust (EAFD) generation in kg/tonne and disposal cost per 100T load.
Maps every scrap grade to EAF, BOF, and Induction furnace suitability per IS 2314 standards — with thermal processing windows and charge recommendations.
Score-CAM attention maps highlight exactly which regions of the scrap image drove the model's decision — fully gradient-free, runs in the browser.
One-click IS 2314 grade reports with QR code, truck/batch ID, composition analysis, zinc risk assessment, and ESG compliance score.
Real-time CO₂ savings calculator, recycling efficiency scoring, net load value estimator with EAFD disposal cost deduction, and supplier scorecard.
Detects motherboard and mixed e-waste components, estimates precious metal yield (Gold/Silver), and flags hazardous materials for compliance with E-Waste Rules 2022.