AI vision-based real-time visibility for trailers, containers, trucks, vessels, and yard equipment.
Real-time object detection, multi-object tracking, & visual intelligence at the edge.
Live asset tracking using Camera + AI, without RFID tags or readers.
AI vision for gates, dock doors, and vehicle movement analytics.
Face-based, on-edge attendance with built-in privacy.
AI-powered vehicle recognition to automate student dismissal flow.
Powered by NVIDIA® Jetson™ Orin™ NX (16 GB), ultra-fast AI for real-time computing.
Miner-sized industrial edge AI computer with rich I/O connectivity and pre-installed AI stack.
| AI Module | NVIDIA Jetson™ Orin™ NX 16 GB |
|---|---|
| AI Performance | Up to ~100 TOPS (Tensor Operations per Second) |
| Memory | 16 GB LPDDR5 |
| Storage | 128 GB NVMe SSD |
| Video Outputs | HDMI 2.1 |
| Camera Inputs | 2× CSI |
| Connectivity | 4× USB 3.2, RJ45 Ethernet, CAN, GPIO |
| Expansion | M.2 Key E (wireless), M.2 Key M (SSD & modules) |
| OS | Linux + NVIDIA JetPack |
| Deployment | Edge / On-Premises |
| 1 | Powered by NVIDIA Jetson Orin™ NX (16 GB) with up to ~100 TOPS of AI acceleration for deep learning, vision, robotics and multi-sensor processing. |
|---|---|
| 2 | High AI throughput with low power consumption. |
| 3 | Real-time inferencing with deterministic response. |
| 1 | 4× USB 3.2 ports for peripherals and cameras. |
|---|---|
| 2 | HDMI 2.1 for local display output. |
| 3 | Gigabit Ethernet (RJ45) for networking. |
| 4 | M.2 Key E / Key M slots — connect Wi-Fi / LTE / 5G, SSD, and expansion modules. |
| 5 | CAN, GPIO, dual CSI camera interfaces. |
| 1 | Pre-installed NVIDIA JetPack (Linux + Jetson SDK) |
|---|---|
| 2 | Support for CUDA, TensorRT, DeepStream |
| 3 | ROS / ROS2 frameworks for robotics |
| 4 | Python & C++ ready for custom models |
| 1 | Designed to run AI where data is generated — not in the cloud. |
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