🔥 reComputer Robotics J601: Multiple Sensors, Concurrent AI, One Edge Platform
6 camera feeds. LiDAR point clouds. Multiple AI workloads. Just 47% GPU utilization. Powered by
@nvidia Jetson AGX Thor, our
#reComputer Robotics J601 series delivers the performance to bring multiple perception workloads together on one edge platform.
📡 Sensor inputs: 6 cameras + LiDAR point clouds
👀 See the full pipeline in action:
🔹 Object detection across 6 camera feeds | YOLO26n, TensorRT FP16
🔹 Road and lane segmentation | YOLOP,TensorRT FP16
🔹 Geometric fusion and local mapping | CUDA, calibration/pose alignment
Camera views, bird’s-eye views, and 3D point clouds reveal how the pipeline builds a shared spatial view.
⚙️ Built for sensor-rich systems:
• 4 × 10GbE RJ45 ports for sensor connectivity and expansion
• Live network and compute monitoring
⚡ One sampled snapshot:
• Object detection: 4.4 ms
• Road segmentation: 26.2 ms
• GPU: 47% | CPU: 12% | RAM: 13%
🎥 Watch the demo below.
Explore the reComputer Robotics J601👉
Performance varies with scene and configuration.
#Robotics #EdgeAI #NVIDIAJetson #SensorFusion