Car Thermal Imaging Camera
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
JSCZ640 640×512 VOx Uncooled Thermal Vehicle Night-Vision Camera GMSL1 CVBS POC 4.1mm 120°×92° ≤40mK IP67 IP69K -40°C to 80°C 12V ADAS Automotive Infrared Driving Camera
Product Description The JSCZ640 is a rugged infrared night-vision auxiliary camera purpose-built for the commercial-vehicle and ADAS industry. Built on a VOx uncooled focal-plane detector, it delivers clear day/night thermal imagery through a single coaxial cable using POC (power-over-coax) with GMSL1 high-speed video transport (Maxim96705, up to 1.74 Gbps) plus a standard CVBS output. Key Features 640×512 VOx uncooled detector ● , 12μm, NETD ≤40mK @25°C F1.0 crisp thermal