Trinetra compiles radar sweeps, thermal video analytics, and ultrasonic telemetry into a unified situational map, processing complex multi-domain security classifications directly on edge hardware.
Lightweight convolutional neural networks customized to classify soldiers, civilian shapes, weaponry, and vehicles at high speeds using edge hardware.
Analyzing visual flow anomalies, frame-by-frame contours, and movement velocities to track targets in difficult weather.
Infrared color palette mapping algorithms to verify warm signatures against sub-zero environments, resolving blind spots in dark sectors.
Precision geofencing systems that lock coordinate metrics and trigger autonomous intercepts standard security violations.
Blending LIDAR ranges, visual feeds, and radar blips into a singular confidence calculation model to avoid false warnings.
Calculating speed metrics, heading vectors, and threat scores on local nodes and sending reports instantly.
Proprietary dynamic path planners avoiding physical obstacles, adjusting crawler tracks, or piloting VTOL quadcopters safely.
Click on any pipeline phase below to simulate computational operations, diagnostic terminal logs, and system states.
Multi-sensor crawler, drone, and marine feeds.
YOLO and OpenCV model execution on local hardware.
Target shape, velocity, and thermal validation.
AES-256 encrypted packets sent to headquarters.
Operator screens receive target tracking coordinate logs.
Defensive geofencing & searchlight coordinate locks.
Node sensors aggregating multi-domain streams. Thermography lens active, LIDAR array pinging at 40Hz, hydrophone sensing maritime acoustic waves.