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MediaTek Genio 350 EVK
Edge AI platform for entry AIoT and embedded applications

MediaTek Genio 350 EVK
Comprehensive Evaluation Kit (EVK) for Entry AIoT Application Prototyping



 



 

 

The MediaTek Genio 350 platform is an Edge AI platform designed for mainstream AIoT and Embedded applications that require vision and voice edge processing, such as facial, object, gesture, motion recognition, LPR, voice activation and speed recognition, sound isolation, bio-tech and bio-metric measurements, and more.

 

Built using an ultra-efficient 14nm process, this highly integrated Edge AI platform incorporates a dedicated APU (AI processor) and DSP to enable vision and voice edge AI, with considerably greater performance and power efficiency in common applications.

 

Support for high definition displays with touch interfaces and rich applications makes this an ideal platform for smart appliances, smart access, public interfaces such as kiosk, vending or POS within retail and commercial settings, or hubs in industrial and medical environments.

 

Architecture and Block Diagram



 

Applications by Field



 

Genio 350 EVK Component List

1. Genio 350 EVK Main Board x 1
2. 7'' TFT LCM Module with Touch x 1
3. Mini-SAS Cable / Camera board / Camera module x 2
4. 12V Power Adapter x 1



Main Board

 

    

7'' TFT LCM+TP

 



Mini-SAS Cable & Camera module

 



Power Adapter

 

Everything Ready for Development

The MediaTek Genio 350 EVK provides a comprehensive evaluation kit for AIoT application development, including HDK board with full chip functionality exposed, complete hardware development documentation and software development kit. This evaluation kit is available to evaluate the MT8365 processor for solution design and development

 

Board Feature Summary

At the current release, AIoT Yocto enables the following board features:

 

Supported Board Features

  • MediaTek MT8365 SoC
  • MediaTek PMIC (MT6357)
  • 3GB LPDDR4 RAM x 1 (Micron MT53E768M32D4DT-053)
  • 64GB eMMC x 1 (SanDisk/Western Digital SDINBDA4_64G)
  • M.2 slot 2x2ac WiFi/Bluetooth Module (AzureWave AW-CB451NF)
  • 7'' TFT LCD Module + TP
  • 2.0mm DC Jack x 1 (for 12V DC Input)
  • Micro SD Card Slot x 1
  • Push Button x 4 (Power, Reset, Volume-Up and Volume-Down)
  • 4-Lane DSI x 1
  • HDMI x 1
  • 10/100 Ethernet x 1 (Shared with DPI Signal)
  • USB Device Port x 1 (Micro USB Connector)
  • USB Host Port x 1 (Type-A USB Connector)
  • 3.5mm Earphone Jack x 1 (with Microphone Input)
  • 3.5mm Line Out Audio Jack x 1
  • Analog Microphone x 1
  • Digital Microphone x 2
  • UART Port x 2 for Trace Log with USB to UART Bridge IC (Micro USB Connector x 2)
  • I2C Capacitive Touch Pad
  • 4-Data Lane CSI x 2 (SAS SFF-8087 Connector)
  • Camera module x 2 (AP1302 ISP board + AR0430 IAS sensor module)
  • 40-Pin 2.54mm Pin Header x 1 (for Raspberry Pi like I/O Interface)

 

For more product information, Please feel free to contact the link

 

 

聯發科技 AIoT 系列 AI晶片平台，為開發做好一切準備

MediaTek Genio 350 EVK
整合獨立 AI 處理器和 DSP 的主流 AIoT 平台，專為 AI 語音和視覺設備而設計

 

聯發科技 AIoT 解決方案提供一系列 AI晶片平台，可應用於家庭、企業、工業、醫療保健、零售、城市，以及其他適用於物聯網的智能設備。

 

Genio 350 為一款支援邊緣運算的 AI 平台，專為需要 AI 語音和 AI 視覺處理的入門級 AIoT 應用而設計，適用於臉部識別、物體識別、手勢與動作識別、LPR、語音啟動、速度識別、降噪、生物技術和生物識別測量等用途。

 

Genio 350 採用高能效的台積電 14nm 製程，整合了四核 Arm Cortex-A53 CPU、Arm Mali-G52 GPU、APU（AI 處理器）和 DSP。 同時配備 HEVC 編碼加速引擎，可將攝像鏡頭拍攝的視頻內容，以更低的資源佔用率實現 Full HD 分辨率編碼。

 

開發板系統架構



 

市場與應用



 

Genio 350 開發板套件

1. Genio 350 EVK Main Board x 1
2. 7'' TFT LCM Module with Touch x 1
3. Mini-SAS Cable / Camera board / Camera module x 2
4. 12V Power Adapter x 1



Main Board

 

    

7'' TFT LCM+TP

 



Mini-SAS Cable & Camera module

 



Power Adapter

 

為開發做好一切的準備

MediaTek Genio 350 EVK 為入門級 AIoT 應用開發提供了全面的開發套件，包括完整晶片功能的 HDK 、完整的硬體開發文檔和軟體開發套件。

  • 完整的評估套件：包括 HDK、SDK、文檔和工具
  • 完善的功能：Genio 350 功能全面，可輕鬆進行定制和應用程序開發
  • 兼容多操作系統：Android、Linux Yocto 或 Ubuntu
  • 易於使用：公開的在線文檔

 

Genio 350 EVK平台規格

  • MediaTek MT8365 SoC
  • MediaTek PMIC (MT6357)
  • 3GB LPDDR4 RAM x 1 (Micron MT53E768M32D4DT-053)
  • 64GB eMMC x 1 (SanDisk/Western Digital SDINBDA4_64G)
  • M.2 slot 2x2ac WiFi/Bluetooth Module (AzureWave AW-CB451NF)
  • 7'' TFT LCD Module + TP
  • 2.0mm DC Jack x 1 (for 12V DC Input)
  • Micro SD Card Slot x 1
  • Push Button x 4 (Power, Reset, Volume-Up and Volume-Down)
  • 4-Lane DSI x 1
  • HDMI x 1
  • 10/100 Ethernet x 1 (Shared with DPI Signal)
  • USB Device Port x 1 (Micro USB Connector)
  • USB Host Port x 1 (Type-A USB Connector)
  • 3.5mm Earphone Jack x 1 (with Microphone Input)
  • 3.5mm Line Out Audio Jack x 1
  • Analog Microphone x 1
  • Digital Microphone x 2
  • UART Port x 2 for Trace Log with USB to UART Bridge IC (Micro USB Connector x 2)
  • I2C Capacitive Touch Pad
  • 4-Data Lane CSI x 2 (SAS SFF-8087 Connector)
  • Camera module x 2 (AP1302 ISP board + AR0430 IAS sensor module)
  • 40-Pin 2.54mm Pin Header x 1 (for Raspberry Pi like I/O Interface)

 

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