Neural Edge is an embedded in-camera solution that delivers advanced vehicle analytics for high-performance license plate recognition (LPR) in urban free-flow environments at speeds of up to 120 km/h. Running all processing inside the camera, it identifies vehicle make, color, speed, model/line (in selected countries), and classifies cars, motorcycles, buses, trucks, vans, and even vehicles without plates. With LPR accuracy rates between 95% and 99%, depending on country and installation conditions, Neural Edge operates efficiently in deployments with limited connectivity while minimizing server requirements. The system also detects cloned or unreadable plates, enabling stronger security and forensic capabilities.

Designed for security and mobility applications, Neural Edge offers powerful tools for situational awareness, traffic intelligence, and investigative analysis. It supports real-time alerts based on custom vehicle lists, forensic searches by vehicle attributes, and multi-country plate recognition across up to two lanes simultaneously. The solution provides rich metadata for third-party systems via TCP/IP, HTTP, and integrations with leading VMS platforms such as Milestone, Genetec, and Nx/Wave. Additional capabilities include vehicle counting, traffic statistics, average speed insights, and optional evidence camera snapshots, all complemented by an intuitive results viewer with flexible filters and export functions.