Multi-Dimensional Search Filters: Filter detections by time window, date, and detailed vehicle classes
Precision Tolerance Management: Tune detection sensitivity to balance recall and relevance, reducing irrelevant results.
Organized Results: Automatic creation and management of dedicated folders for each detected vehicle simplifies tracking and retrieval.
Advanced Algorithmic Backbone: Modern detection engines utilize deep learning with multi-scale feature aggregation to improve detection accuracy in video feeds.
Efficient Real-Time Processing: State-of-the-art deep learning models (single-stage detectors) enable efficient real-time detection suitable for live surveillance and intelligent transportation systems.
Vehicle Detection & Search is a critical KPI for intelligent surveillance and traffic operations. By combining detailed attribute filtering, customizable precision, and intelligent result organization, it delivers actionable insights with speed and clarity.