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Overview

Qualcomm® QCS610/QCS410 SOM is a compact and powerful solution for advanced visual intelligence applications. VVDN has developed a SOM solution (comprising SOM & Carrier Board) based on the powerful Qualcomm® QCS610/QCS410 SoC with a built-in neural processing engine for machine learning capabilities. The system is intended for connecting camera intelligence applications such as 180° dual-camera stitching, advanced tracking algorithms, video conferencing, etc.

The module offers tight system integration and optimization for superior performance and power management with multiple connectivity solutions such as Wi-Fi 802.11a/b/g/n/ac and Bluetooth 5.0.

The SOM provides a platform for the full evaluation of the Qualcomm® QCS610/QCS410 SoC. The module provides Wi-Fi & Bluetooth connectivity via the Qualcomm® WCN3980 chipset and the native ethernet interface is also facilitated for reliable high-speed connectivity.

SOM – Qualcomm® QCS610/QCS410 based development kit comprises of:

SOM Board

AI Video Conferencing

Carrier Board

AI Video Conferencing

Technical Specifications

Processor
  • Qualcomm® QCS610/QCS410 SoC
CPU Qualcomm® Kryo™ 460 CPU
  • Kryo Gold: Dual High-Performance Cores 2.2 GHz
  • Kryo Silver: Hexa Low-Power Cores 1.8 GHz
GPU
  • Qualcomm® Adreno™ GPU 612 with 64-Bit Addressing; 845 MHz
Audio Codec
  • Low Power Stereo Codec With Headphone Out
Connectivity
  • Wi-Fi 802.11a/b/g/n/ac
  • Bluetooth 5.0
  • USB 3.1 Type C
  • USB 2.0 Type A
  • M.2 Connector (Optional LTE Module)
Memory & Storage
  • LPDDR4x (4GB)
  • Micro SD Card (SD3.0)
  • eMMC (16 GB)
Camera Module
  • MIPI CSI(x3)
Display Interfaces
  • 7” Display (Optional LCD), Support 1920x1080p at 60 fps
  • HDMI Output
Communication Interfaces
  • 10/100/1000 Mbps Ethernet
  • Micro USB (Debugging)
Digital Interfaces
  • I2C, SPI, UART, SLIMBUS & Configurable GPIOs
Video Applications Performance
  • Encode: 4K30 8-bit H.264/HEVC/VP8
  • Decode: 4K30 8-bit H.264/HEVC/VP8/VP9
LEDs
  • To Indicate Boot & Power Status Of The Board
Form Factor
  • 55 mm X 30.5 mm
Power Supply
  • 12V DC
  • Battery Powering Option

Targeted Applications

Its compact size and features make it the best to facilitate a cost-effective and efficient system to which next-gen camera modules can be interfaced for various AI-based applications:

Employees
Security Surveillance
Applications
Design
Smart Retail
Applications
Manufacturing
Smart city/Traffic
applications
Countries Global
video conferencing
system
Years of R&D Experience
AI Connected
Cameras
Countries Global
Edge AI Computing
Platforms
Countries Global
360° Panoramic
Cameras
Countries Global
Dash
Cameras
Countries Global
Driver Monitoring
Systems (DMS)