ATR Real-Time Detection & Tracking
Neuronic edge analytics detect, classify and track multiple targets in real time from EO and IR video, holding track identity through occlusion and platform motion.
- Platform
- EO/IR payload with Jetson class edge computer
- Product
- Video Analytics Suite
What is demonstrated
This demonstration shows the Neuronic Video Analytics Suite performing automatic target recognition on live EO and IR video, with bounding boxes, target classes, persistent track IDs and a selected target held under precision tracking.
Capability
Automatic target recognition, multi-target tracking with persistent identity, re-identification after occlusion and EO/IR operation.
Why it is operationally useful
Operators cannot watch every frame of every feed. Turning video into classified, tracked targets at the edge shortens the detection-to-decision cycle and lets a single operator supervise several sensors.
Scenario
Mission sequence
- 01Live EO video is processed onboard the edge computer.
- 02Targets are detected and classified with confidence and class labels.
- 03Multiple tracks are maintained simultaneously with stable IDs.
- 04A target is selected for precision area-of-interest tracking.
- 05The target is occluded and re-identified when it reappears.
- 06The IR channel demonstrates the same performance at night.
- 07Target metadata is reported for downstream C2 and autonomy.
Behind the demo
Video Analytics Suite
Edge-AI video analytics for automatic detection, classification and persistent tracking from EO and IR video.
- Automatic Target Recognition (ATR)
- Detection and classification of personnel, vehicles and aerial targets
- Multi-target tracking with persistent track IDs
- Re-identification after occlusion or field-of-view loss
- Area-of-interest (AOI) precision tracking
- EO and IR processing, day and night
Discuss your platform and mission
Tell us the platform, sensor and mission. We will walk you through integration options and arrange a technical demonstration.