PRODUCT DETAILS
Attention
This product has shipping restriction to certain countries. It can only be sent to countries and regions listed as below: United States, Hong Kong, Austria, Belgium, Bulgaria, Croatia, Cyprus, Denmark, Estonia, Fiji, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, United Kingdom, Switzerland, Iceland, Liechtenstein, Norway, Turkey
Features
- Performs high-speed ML inferencing: The onboard Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power-efficient manner. See more performance benchmarks.
- Provides a complete system: A single-board computer with SoC + ML + wireless connectivity, all on the board running a derivative of Debian Linux we call Mendel, so you can run your favorite Linux tools with this board.
- Supports TensorFlow Lite: No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.
- Supports AutoML Vision Edge: Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.
Description
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.
Specifications
| 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 |
| Expandable memory | Micro-SD card slot |
| 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); 39-pin FFC connector for MIPI-DSI display (4-lane) |
| Input/output | 40-pin GPIO header; 2x USB Type-C (USB 2.0) |
| Box Dimensions | 383x220x166mm |
| Box Weight | 3.49kg |
Dimensions
Part List
1 x Coral Dev Board Mini
Note
If you are looking for open source SBC for commercial and industrial needs. Seeed provides customization service based on BeagleBone series boards. Seeed Studio BeagleBone® Green(BBG) and Seeed Studio BeagleBone® Green Wireless (BBGW) provide more stable industrial deployment scenarios.
ECCN/HTS
| HSCODE | 8543709990 |
| USHSCODE | 8543709940 |
| UPC |
Coral Dev Board Mini
$137.00
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.
Coral Dev Board Mini
$137.00
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.
PRODUCT DETAILS
Attention
This product has shipping restriction to certain countries. It can only be sent to countries and regions listed as below: United States, Hong Kong, Austria, Belgium, Bulgaria, Croatia, Cyprus, Denmark, Estonia, Fiji, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, United Kingdom, Switzerland, Iceland, Liechtenstein, Norway, Turkey
Features
- Performs high-speed ML inferencing: The onboard Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power-efficient manner. See more performance benchmarks.
- Provides a complete system: A single-board computer with SoC + ML + wireless connectivity, all on the board running a derivative of Debian Linux we call Mendel, so you can run your favorite Linux tools with this board.
- Supports TensorFlow Lite: No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.
- Supports AutoML Vision Edge: Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.
Description
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.
Specifications
| 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 |
| Expandable memory | Micro-SD card slot |
| 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); 39-pin FFC connector for MIPI-DSI display (4-lane) |
| Input/output | 40-pin GPIO header; 2x USB Type-C (USB 2.0) |
| Box Dimensions | 383x220x166mm |
| Box Weight | 3.49kg |
Dimensions
Part List
1 x Coral Dev Board Mini
Note
If you are looking for open source SBC for commercial and industrial needs. Seeed provides customization service based on BeagleBone series boards. Seeed Studio BeagleBone® Green(BBG) and Seeed Studio BeagleBone® Green Wireless (BBGW) provide more stable industrial deployment scenarios.
ECCN/HTS
| HSCODE | 8543709990 |
| USHSCODE | 8543709940 |
| UPC |
