The Genio 350 platform is an Edge AI platform designed for mainstream AIoT 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.
Board Feature Summary
At the current release, it enables the following board features:
Supported Board Features
- MediaTek G350 CPU (MT8365)
- MediaTek PMIC (MT6357)
- 3GB LPDDR4 RAM x 1 (Micron MT53E768M32D4DT-053)
- 64GB eMMC x 1 (SanDisk/Western Digital SDINBDA4_64G)
- 2.0mm DC Jack x 1 (for 12V DC Input)
- Micro SD Card Slot x 1
- Push Butt on 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 Capaciti ve Touch Pad
- 4-Data Lane CSI x 2 (SAS SFF-8087 Connector)
- M.2 Slot x 1 (for AzureWave AW-CB451NF WiFi Module)
- 40-Pin 2.54mm Pin Header x 1 (for Raspberry Pi like I/O Interface)
If you are interested in this platform, please feel free to contact us (jason@synnex.com.tw).