A205E Mini PC, With Jetson Xavier NX 8GB Module NX delivers up to 21 TOPS, making it ideal for high-performance computing and AI in embedded and edge systems. Combined with over 59.7GB/s of memory bandwidth, video encoded and decoded, these features make Jetson Xavier NX the platform of choice to run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously.
A205-E Mini PC is pre-installed with Jetpack 5.0.2, ideal for developing AI systems deployed at smart factories, automated optical inspection, and other AIoT embedded systems with an entire Jetson software stack and various developer tools for building fast and robust AI applications provided by Seeed Edge AI partners.
A205-E built with Jetson Xavier NX module supports alwaysAI Accelerated Edge Deployment. You can train a brand new custom model just in hours, or you can even use choose one of 130+ pre-trained models from the always dashboard, deploy it to A205-E Mini PC, and build a computer vision application within minutes! alwaysAI removes barriers to machine learning expertise requirements and makes creating computer vision apps easy, fast, and effective.
With the deployment engine, you can OTA containerization and device monitoring in production mode, Run the application in offline mode, and Auto-start the application on boot.
With an extensive library of Python APIs, you can also customize any AI application, and also push real-time analytics to platforms such as Data Lakes and BI tools for further data visualization.
With the help of the NVIDIA® TensorRT library and Deepstream framework, you can get the maximum of the NVIDIA® Jetson™ processors. With all the optimizations applied, it is not a surprise to achieve desktop GPU-level framerates with deep learning algorithms in embedded form factors. Following our tutorial, you can efficiently run a custom YOLOv5 object detection model with 60 FPS with an image size of 640×640 at INT8 quantization.
Note: For more technical details go through Datasheet in the attachment section
- Helmet detection, hard hat detection, and custom PPE detection
- Visual anomaly detection using NVIDIA Deepstream IoT
- Industrial communications with RIVA
- Under-ice sensing ROV
- Warehouse towing robot
- Traffic management
- Agriculture: weeding machines, Tractors, Livestock detection
- Healthcare: medical imaging analysis
- Industrial fanless edge AI box: at a dimension of 205mm x 130mm x 65mm packs Jetson Xavier NX 8GB production module, rich-interfaces carrier board, 128GB NVME SSD, WIFI module, and enclosure case.
- Advanced embedded AI system: 384 NVIDIA CUDA® Cores, 48 Tensor Cores, 6 Carmel ARM CPUs, and two NVIDIA Deep Learning Accelerators (NVDLA) engines.
- Rich set of I/Os and industrial communication: 2x Gigabit Ethernet, 2x HDMI, 1x Audio Jack, 4x USB 3,1xUSB 2, 1xRS232, 1xRS485, 1xCAN, 1x Type C, 1x microSD Card Slot, 2x I2C, 1xSPI, 2xLED state.
- Pre-installed NVIDIA JetPack 5.0.2: support the entire Jetson software stack and various developer tools for building fast and robust AI application provided by Seeed Edge AI partners, helps develop innovative AI solution for manufacturing, logistics, retail, service, agriculture, smart city, healthcare, and life sciences, etc
- Certifications: FCC, CE, RoHS
1 x A205E Mini PC
2 x Antenna
1 x Power adapter-19V/4.74A (MAX 90W)（Without Power cord ）