High Performance Embedded AI Video Recognition Edge Computing Device – Asset Track Pro

Embedded AI edge device with face, vehicle, and license plate recognition, dual Ethernet, H.264/H.265 decoding, and robust environmental support.

SKU: ATPDCE-355 Category:

Description

Technical Specifications

Processor High performance embedded microprocessor
Operating System Embedded Linux
Video Stream Input 1920 x 1080 (2MP), 2560 x 1440 (4MP), 3840 x 2160 (8MP)
Video Decoding Type H.264 / H.265
Face Capture Machine Max 8 /16/ 32-channel access (GA/T 1400 protocol)
Human Face Recognition Capture rate: 99%, False capture rate <1%, Whitelist pass rate >99.5%, Recognition false rate <0.5%
Motor Vehicle Recognition Capture rate 90%, False capture rate <1%
Non-Motor Vehicle Recognition Capture rate 95%, False capture rate <1%
License Plate Recognition Capture rate 95%, Recognition rate 95%, False capture rate <1%
Largest Base Library 300,000 portraits
Network Interface 2 × 10/100/1000M adaptive Ethernet (RJ45)
Alarm Input/Output 4 switches
Audio Input/Output 1 way
USB Interface Front: 1 × USB 2.0, 1 × USB 3.0; Rear: 2 × USB 2.0
RS485 2 way
Reset/Power LED 1
Running Indicator Light 1 pc, two-color (red+green)
System Functions Employee access, key personnel control, stranger identification, video capture & structured data analysis, license plate recognition
Algorithm Management Upload/install/uninstall/delete via web/API/Meg Connect protocol
Network Protocol TCP/UDP/HTTP/MULTICAST/DHCP/FTP/NTP/HTTPS/RTSP/GAT1400
Dual Network Port Features Multiple address settings, load balancing, Active/standby mode
Log Query Face-human-machine non-card capture info search & display
Power Supply DC 12V ±10%, 2A
Structure Metal case
Operating Temperature -30 °C to 70 °C (−22 °F to 158 °F)
Storage Temperature -30 °C to 70 °C (−22 °F to 158 °F)
Relative Humidity 10% to 90% RH, non-condensing
Dimensions (L × D × H) 229 mm × 193 mm × 49 mm (9.02 × 7.60 × 1.93 in)
Weight < 2 kg (< 4.4 lb)

Description

Technical Specifications

Processor High performance embedded microprocessor
Operating System Embedded Linux
Video Stream Input 1920 x 1080 (2MP), 2560 x 1440 (4MP), 3840 x 2160 (8MP)
Video Decoding Type H.264 / H.265
Face Capture Machine Max 8 /16/ 32-channel access (GA/T 1400 protocol)
Human Face Recognition Capture rate: 99%, False capture rate <1%, Whitelist pass rate >99.5%, Recognition false rate <0.5%
Motor Vehicle Recognition Capture rate 90%, False capture rate <1%
Non-Motor Vehicle Recognition Capture rate 95%, False capture rate <1%
License Plate Recognition Capture rate 95%, Recognition rate 95%, False capture rate <1%
Largest Base Library 300,000 portraits
Network Interface 2 × 10/100/1000M adaptive Ethernet (RJ45)
Alarm Input/Output 4 switches
Audio Input/Output 1 way
USB Interface Front: 1 × USB 2.0, 1 × USB 3.0; Rear: 2 × USB 2.0
RS485 2 way
Reset/Power LED 1
Running Indicator Light 1 pc, two-color (red+green)
System Functions Employee access, key personnel control, stranger identification, video capture & structured data analysis, license plate recognition
Algorithm Management Upload/install/uninstall/delete via web/API/Meg Connect protocol
Network Protocol TCP/UDP/HTTP/MULTICAST/DHCP/FTP/NTP/HTTPS/RTSP/GAT1400
Dual Network Port Features Multiple address settings, load balancing, Active/standby mode
Log Query Face-human-machine non-card capture info search & display
Power Supply DC 12V ±10%, 2A
Structure Metal case
Operating Temperature -30 °C to 70 °C (−22 °F to 158 °F)
Storage Temperature -30 °C to 70 °C (−22 °F to 158 °F)
Relative Humidity 10% to 90% RH, non-condensing
Dimensions (L × D × H) 229 mm × 193 mm × 49 mm (9.02 × 7.60 × 1.93 in)
Weight < 2 kg (< 4.4 lb)