Real-time object detection and classification optimized for industrial edge deployment. Custom CSPCore backbone with 5-scale anchor-free detection.
Accurate head and person counting in crowded scenes. Works from any camera angle.
Detects and reads license plates in real-time. GDPR-compliant anonymisation mode.
Detects illegal dumping in public spaces with GPS geolocation for automatic dispatch.
Classifies waste: bulky waste, household waste, textile waste, hazardous materials.
Detects and classifies passenger cars and commercial trucks for traffic monitoring.
General-purpose 80-class baseline for rapid prototyping and transfer learning.
Vandalism detection with GPS coordinates. Distinguishes art from illegal graffiti.
Road sign detection with GPS-tagged geolocation for infrastructure monitoring.
Head-based face anonymisation. GDPR-compliant, on-device processing.
Built with proprietary KINEVA® blocks: CSPCore for edge-optimized inference, CSPAttention for in-backbone self-attention, and KPPF for multi-scale pooling.
All CSPCore and CSPAttention blocks are proprietary KINEVA® architecture · 5-scale anchor-free detection · stride 4–64
KINEVA® trains custom models for your specific use case.