BOXER-8621AI
AI@Edge Compact Fanless Embedded AI System with NVIDIA® Jetson Orin Nano™
Features
- NVIDIA® Jetson Orin Nano™ (Super Mode Supported)
- Expansion: M.2 2230 E-Key x 1, M.2 3052 B-Key x 1
- USB 3.2 Gen 2 (Type-A) x 2 & USB 2.0 (Type-A) x 2
- COM, DIO, CANBus
- Operating Temperature: -5°F~ 140°F (-15°C ~ 60°C)
Equipped with the NVIDIA® Jetson Orin Nano™ (Super Mode supported), a compact and mountable chassis, and support for cameras through GbE LAN and USB ports, the BOXER-8621AI serves as an efficient solution for ANPR (Automatic Number Plate Recognition) and fleet management.
With the added benefit of versatile expansion options for 5G, LTE, and Wi-Fi, the BOXER-8621AI also suits roadside and parking lot environments.
With a wide -15°C ~ 60°C temperature range, anti-shock, and anti-vibration features, the BOXER-8621AI is rugged enough to be deployed as an AMR solution in a variety of settings. DB-9 and DB-15 ports provide a range of communication protocols, such as RS-232/422/485, CANBus, and GPIO conducive to real-time data exchange between proximity sensors, motor controllers, and actuators for smooth AMR operation.
Equipped with the 20 TOPS AI performance of the NVIDIA® Jetson Orin Nano™ and support for NVIDIA Jetpack™ SDK’s library of deep learning models, the BOXER-8621AI offers intricate inferencing on the edge for ANPR deployments. With its compact, mountable chassis and combination of camera support and wireless expansion module compatibility, the system excels both on the roadside and in parking lots.
Boasting both LAN and USB ports to facilitate camera installation for driver behavior monitoring and outfitted with flexible storage and wireless communication options, the BOXER-8621AI is a premier choice for fleet management solutions. Moreover, it can swiftly implement contingency measures following road-related incidents, transmitting pertinent data to a central server while ascertaining the necessary level of response on the edge.
System | |
| AI Accelerator | NVIDIA® Jetson Orin Nano™ |
| CPU | 6-core Arm® Cortex®-A78AE ARMv8.2 64-bit CPU |
| System Memory | 4GB/8GB LPDDR5 |
| Storage Device | M.2 3052 B-Key x 1 for M.2 2242 B+M Key SSD (Default Storage) |
| Display Interface | HDMI 1.4 (Type-A) x 1 |
| Ethernet | RJ-45 x 1 for GbE LAN |
| I/O | USB 3.2 Gen 2 (Type-A) x 2 |
| Expansion | M.2 3042/3052 B Key x 1 (4G/5G/M.2 2242 B+M Key storage) |
| Indicator | Power LED x 1 |
| OS Support | Linux (NVIDIA Jetpack™ 5.0 up) |
Power Supply | |
| Power Requirement | 12V~24V DC in with 2 pins terminal block x 1 |
Mechanical | |
| Mounting | Wallmount |
| Dimensions (W x D x H) | 4.13” x 3.54” x 2.05” (105mm x 90mm x 52mm), w/o bracket |
| Gross Weight | 2.4 lb. (1.1Kg) |
| Net Weight | 1.58 lb. (0.7Kg) |
Environmental | |
| Operating Temperature | -5°F ~ 140°F (-15°C ~ 60°C), according to IEC60068-2 with 0.5 m/s AirFlow |
| Storage Temperature | -40°F ~ 185°F (-40°C ~ 85°C) |
| Storage Humidity | 5% ~ 95% @ 40C, non-condensing |
| Anti-Vibration | 3.5Grm / 5~500Hz / Operation |
| Anti-Shock | 50G peak acceleration |
| Certification | CE/FCC class A |