High Performance Embedded AI Video Recognition Edge Computing Device – The Inventory Master

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

SKU: TIMDCE-355 Category:

Technical Specifications

ProcessorHigh performance embedded microprocessor
Operating SystemEmbedded Linux
Video Stream Input1920 x 1080 (2MP), 2560 x 1440 (4MP), 3840 x 2160 (8MP)
Video Decoding TypeH.264 / H.265
Face Capture MachineMax 8 /16/ 32-channel access (GA/T 1400 protocol)
Human Face RecognitionCapture rate: 99%, False capture rate <1%, Whitelist pass rate >99.5%, Recognition false rate <0.5%
Motor Vehicle RecognitionCapture rate 90%, False capture rate <1%
Non-Motor Vehicle RecognitionCapture rate 95%, False capture rate <1%
License Plate RecognitionCapture rate 95%, Recognition rate 95%, False capture rate <1%
Largest Base Library300,000 portraits
Network Interface2 × 10/100/1000M adaptive Ethernet (RJ45)
Alarm Input/Output4 switches
Audio Input/Output1 way
USB InterfaceFront: 1 × USB 2.0, 1 × USB 3.0; Rear: 2 × USB 2.0
RS4852 way
Reset/Power LED1
Running Indicator Light1 pc, two-color (red+green)
System FunctionsEmployee access, key personnel control, stranger identification, video capture & structured data analysis, license plate recognition
Algorithm ManagementUpload/install/uninstall/delete via web/API/Meg Connect protocol
Network ProtocolTCP/UDP/HTTP/MULTICAST/DHCP/FTP/NTP/HTTPS/RTSP/GAT1400
Dual Network Port FeaturesMultiple address settings, load balancing, Active/standby mode
Log QueryFace-human-machine non-card capture info search & display
Power SupplyDC 12V ±10%, 2A
StructureMetal 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 Humidity10% 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)

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