DetectNet M1
High-speed object detection optimized for conveyor belt environments. Identifies products at 120+ FPS with sub-pixel accuracy.
by FSK Soft
Custom-trained detection models for factory production lines, conveyor belt systems & multi-device image recognition.
We deploy custom-trained AI models for factories and enterprise clients — enabling real-time product detection, automated defect sorting, conveyor belt management, and multi-device visual recognition across your entire production pipeline.
Deploy detection models across cameras, edge devices, mobile units, and industrial sensors simultaneously. One model, every screen.
Real-time product flow monitoring, automated sorting triggers, speed optimization, and jam detection powered by custom-trained AI.
Pixel-level defect detection with custom classification models. Identify scratches, dents, color mismatches, and dimensional deviations.
Models run on-device for real-time speed, with cloud sync for model updates, analytics dashboards, and fleet management.
We train models specifically for your products and production environment. Your data, your domain, your specialized AI.
End-to-end quality gates with automated pass/fail decisions, batch reporting, and compliance tracking per industry standards.
High-speed object detection optimized for conveyor belt environments. Identifies products at 120+ FPS with sub-pixel accuracy.
Multi-class product classification for automated sorting lines. Handles 200+ product categories with 99.4% accuracy.
Pixel-level defect detection and classification. Finds micro-cracks, surface anomalies, and dimensional deviations in real-time.
Intelligent conveyor belt monitoring. Predictive maintenance, jam detection, speed optimization, and throughput analytics.
Unified multi-device image recognition. Deploy across cameras, drones, mobile devices, and edge nodes with a single model.
Tell us about your production line — we'll design, train, and deploy the perfect detection model for your specific needs.
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