NVIDIA Jetson Nano enables the development of millions of new small, low-power AI systems. It opens new worlds of embedded IoT applications, including entry-level Network Video Recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.
The speed and performance of the new Raspberry Pi 4 is a step up from earlier models. For the first time, we've built a complete desktop experience. Whether you're editing documents, browsing the web with a bunch of tabs open, juggling spreadsheets or drafting a presentation, you'll find the experience smooth and very recognisable — but on a smaller, more energy-efficient and much more cost-effective machine.
The Coral Dev Board Mini is a single-board computer that provides fast machine learning (ML) inferencing in a small form factor. It's primarily designed as an evaluation device for the Accelerator Module (a surface-mounted module that provides the Edge TPU), but it's also a fully-functional embedded system you can use for various on-device ML projects.
| CPU | MediaTek 8167s SoC (Quad-core Arm Cortex-A35) |
| GPU | IMG PowerVR GE8300 (integrated in SoC) |
| ML accelerator | Google Edge TPU coprocessor: 4 TOPS (int8); 2 TOPS per watt |
| RAM | 2 GB LPDDR3 |
| Flash memory | 8 GB eMMC |
| Wireless | Wi-Fi 5 (802.11a/b/g/n/ac); Bluetooth 5.0 |
| Audio/video | 3.5mm audio jack; digital PDM microphone; 2.54mm 2-pin speaker terminal; micro HDMI (1.4); 24-pin FFC connector for MIPI-CSI2 camera (4-lane); 24-pin FFC connector for MIPI-DSI display (4-lane) |
| Input/output | 40-pin GPIO header; 2x USB Type-C (USB 2.0) |
HuskyLens is an easy-to-use AI machine vision sensor with 7 built-in functions: face recognition, object tracking, object recognition, line tracking, color recognition, tag recognition and object classification.
Through the UART / I2C port, HuskyLens can connect to Arduino and micro:bit to help you make very creative projects without playing with complex algorithms.
ReSpeaker 4-Mic Array for Raspberry Pi is a 4 microphone expansion board for Raspberry Pi designed for AI and voice applications. This means that you can build a more powerful and flexible voice product that integrates Amazon Alexa Voice Service, Google Assistant, and so on.
