| Customization: | Available |
|---|---|
| Type: | Development Board |
| Description: | Eai-80 |
| Shipping Cost: | Contact the supplier about freight and estimated delivery time. |
|---|
| Payment Methods: |
|
|---|---|
| Support payments in USD |
| Secure payments: | Every payment you make on Made-in-China.com is protected by the platform. |
|---|
| Refund policy: | Claim a refund if your order doesn't ship, is missing, or arrives with product issues. |
|---|
Suppliers with verified business licenses
Audited Supplier Audited by an independent third-party inspection agency
| Details |
Thank you for your support ! Please note :
Epacket logistics is expected to be 15-30 working days,and slow update of logistics informations, If you mind ,please choose the fast logistics channel . Thank you : )
BPI-EAI80 AIoT board use Edgeless EAI80 chip design .it have Dual-Cortex M4F@200MHz 500DMIPS and AI-NPU:CNN-NPU @300 MHz 300GOPS. support LVDS pannel and camera interface. onboard wifi
EAI Series adopt"Dual-CPU+NPU"structure, combine AI ability with real-time and low power embedded MCU. Rich peripherals and HW-security integrated, EAI series are designed to support next-gen. IoT applications, provide single-chip turnkey solution with AI recognition and MCU control. Edgeless Embedded AI Series crossover processor, EAI series,under the wave of AIoT, are launched for smart home, industry, stem education, energy MGT and etc., with AI ability, low power and cost-effective, provide complete HW/SW turnkey solutions. Target to establish the smallest AI+MCU module in the world, promote transboundary innovation, empower end-sides and industries.
EAI series crossover AI MCU, CPU core is based on ARM Cortex-M4, ARMv7-M supports a predefined 32-bit address space, with subdivision for code, data, and peripherals, and regions for on-chip and off-chip resources, where on-chip refers to resources that are tightly coupled to the processor. EAI is a multi-core microcontroller implementing Dual-ARM Cortex-M4 cores. All cores have access to the complete memory map. One ARM Cortex-M4 is used as the master processor. The other ARM Cortex-M4 core can be used as a co-processor to off-load the ARM Cortex-M4 and to perform complicated mathematical calculations. CNN processor is integrated in EAI, which can handle image detection and recognition use deep learning methods with high performance and low energy consumption. It supports mainstream CNN model such as Resnet-18, Resnet-34, Vgg16, GoogleNet, Lenet etc, convolutional with kernel size from 1 up to 7, channel/feature number up to 512, max/average pooling function with kernel
EAI chip Device Summary
){kind=link}