Vehicle Thermal Night-Vision AI Algorithm Box Person Vehicle Recognition UART Output Distance Alarm Level Detection Module for ADAS Driver Assistance Infrared Camera Edge Computing

Product Description

The JSCZ vehicle algorithm box is an edge-AI processing unit for vehicle thermal night-vision systems. It runs person/vehicle recognition on the thermal camera feed and streams structured detection results over a simple UART protocol, letting host devices and ADAS/assisted-driving displays act on alerts without heavy onboard image processing.

Key Features

Real-time person & vehicle recognition

● on the thermal night-vision stream

Structured one-way UART output

● (115200 bps, 8N1) device transmits only when a target is detected

Distance reporting

● with alarm levels:

○ Persons incl. cyclists/e-scooters/motorcycles/three-wheelers; 3-level proximity alarm (≥60m no alarm; 40-60m level 1; 20-40m level 2; <20m level 3) with per-frame distance in meters

○ Motor vehicles detected with distance value and other flags

Bounding-box coordinates

● for every detected target on a 1280×719 image plane direct draw-able data

● Designed for rail, mine vehicles, driverless logistics trucks, ports & harbors

● Pairs with JSCZ640 / JSCZ-series thermal cameras

Output Protocol (summary)

● Person frame:

$p, Y1,X1,Y2,X2, level+distance, frameID**checksum

● Vehicle frame:

$c, Y1,X1,Y2,X2, flag+distance, frameID**checksum

● Coordinates normalized to a 1280×719 plane for all camera resolutions

● ASCII checksum; transmits only on detection (no continuous stream)

Specs sourced from JSCZ vehicle thermal night-vision person/vehicle recognition algorithm box comms protocol V1.4.7 full protocol document available on request.