AI accelerator (Edge TPU) Tinker Edge T is a single-board computer (SBC) specially designed for AI applications. It features the Google Edge TPU; a machine learning (ML) accelerator that speeds up processing efficiency; lowers power demands and makes it easier to build connected devices and intelligent applications. With this onboard ML accelerator; Tinker Edge T is capable of performing four tera-operations per second (TOPS) using only 0.5 watts per unit of computation. It is also optimized for TensorFlow Lite models; making it easy to compile and run common ML models. NXP i.MX 8M processor With its powerful and modern quad-core ARM-based NXP i.MX 8M processor; Tinker Edge T offers a powerful solution for graphics; machine vision; video; audio; voice and safety-critical applications. Tinker Edge T features 1 GB of LPDDR4 dual-channel memory; the 4th generation of low-power DDR DRAM technology; offering faster speeds and even lower power consumption for improved system performance and efficiency. Tinker Edge T also comes equipped with an onboard 8 GB eMMC and SD 3.0 interface that offers significantly faster read and write speeds for the OS; applications and file storage. Advanced power design Most SBC motherboards only offer a 15 watt (5V 3A) power design; which can cause device and system instability when there are multiple connected devices. Other SBCs have power designs that lower the performance of their I/O ports. Tinker Edge T has a special power design that; together with a DC head power supply; delivers up to 45 watts of power; enabling stable system operation and full I/O performance; even with multiple connected devices. Additionally; an exclusive power-protection design activates automatically if the supplied current and voltage change significantly; effectively protecting the board and all connected devices. More connectivity options for makers Tinker Edge T features a rich I/O interface; including one MIPI-DSI connection for displays and touch screens; and two MIPI-CSI connections for compatible cameras to enable computer vision for applications such as depth measurement; smart vending machine QR code payment systems and interactive advertising. Tinker Edge T has a maker-friendly design that offers many carefully considered features to provide a superior experience for first-time builders and seasoned hobbyists alike. Programmable LEDs let makers develop custom lighting behaviors; such as system notifications and status indicators; and the color-coded GPIO header makes it easy to recognize respective pin headers. Tinker Edge T also features a full-size HDMI port; USB Type-A; USB Type-C; gigabit LAN and integrated Wi-Fi and Bluetooth for internet and network connectivity. Heatsink included Tinker Edge T includes an active heatsink; which helps improve heat dissipation under heavy loading or in hot ambient environments. Neural network tools for users ASUS provides a robust API and SDK that enables users to deploy machine learning models to Tinker Edge T easily for applications such as image classification and object detection. OS flash tool Tinker Edge T comes with a cross-platform OS flash tool that enables easy OS image flashing to SD cards and USB drives; enabling you to get your system up and running quickly. Enhanced OS interface An intuitive software interface offers makes it easy to navigate the features of Tinker Edge T; and shortcuts provide quick; convenient access to commonly user functions. Product Features: Design for edge AI applications - Features onboard ML accelerator Google Edge TPU; optimized for TensorFlow Lite models; provides high performance ML inferencing CPU and GPU - Quad-core ARM Cortex-A53 and integrated GC7000 Lite Graphics support for better computing performance Memory and storage - LPDDR4 1GB memory; onboard 8GB eMMC 1 and Micro SD(TF) card slot for storage Multiple connectivity options - Dual MIPI CSI for stereoscopic applications; compatible with DSI touch panel; HDMI port for display and USB 3. 2 Gen 1 port for date transfer Advanced power design - Supports 12V~19V Wide-range DC-in and power-protection design Specifications: CPU Socket: Quad-core ARM Cortex-A53 Compatible Devices: Personal Computer RAM Memory Technology: LPDDR4 Chipset Type: Quad-core ARM Platform: Android Memory Storage Capacity: 8 GB RAM Memory Maximum Size: 1 GB Memory Speed: 1.5 GHz Number of USB 2.0 Ports: 1 Item Dimensions (L x W x H): 3.37 x 2.12 x 5 in. Item Weight: 7.2 ounces
