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MY-EVC700S-V2 IPC Box

The MY-EVC700S-V2 IPC Box is an industrial-grade gateway solution, powered by the Allwinner T113-i processor. With 13 TOPS of AI performance and low power consumption, it offers comprehensive connectivity options like RS232/RS485, USB, Ethernet, WiFi/Bluetooth, and 4G LTE. Designed for high-performance AI video analytics and edge applications, it supports Linux OS and offers a robust software suite for easy customization and development. The system is suitable for a wide range of industrial applications with a working temperature range of -40°C to 85°C..

  • Detail
  • Special Features
  • Specification

The MY-EVC700S-V2 IPC Box integrates the Allwinner T113-i SoC, providing a high-performance, energy-efficient platform for AI gateway applications. It is designed to process real-time deep neural network inferencing for a wide range of industrial and edge applications. This system is compact yet powerful, making it ideal for applications such as industrial automation, AI video analytics, and smart city solutions.

The system provides a wide array of connectivity options, including RS232/RS485 for serial communication, USB ports, Ethernet for wired networking, and WiFi/Bluetooth for wireless connectivity. With 4G LTE support, it enables reliable remote data transfer, ideal for IoT devices that need to operate in remote locations.

The MY-EVC700S-V2 is equipped with 512MB DDR3 RAM, 4GB eMMC, and a microSD card slot, offering sufficient storage and memory for data processing and AI model execution. It supports Linux OS with a full software suite that includes kernel source code, drivers, and custom development tools, providing full support for AI frameworks like TensorFlow, PyTorch, and ONNX.

With LVDS-to-HDMI customization available, this module can easily be adapted to various display interfaces, supporting industrial-grade environments that require robust, flexible systems for AI-driven edge computing applications.

  • High-Performance Processing

    • Powered by the Allwinner T113-i SoC, the system offers a 1.2GHz Dual-core ARM Cortex-A7 processor, providing exceptional AI performance for edge computing.

  • Comprehensive Connectivity

    • Includes 2x RS232, 2x RS485, 2x USB Host, 1x Ethernet, 2x CAN, and 2x Digital I/O ports, providing flexibility for industrial IoT and AI video analytics.

  • Wireless and Cellular Communication

    • Features WiFi/Bluetooth, 4G LTE module (Quectel EC200MCNLF-I03-MN0CA), and SIM card slot, ensuring wireless connectivity for edge devices.

  • Industrial-Grade Reliability

    • Supports temperature ranges from -40°C to 85°C, making it suitable for rugged environments requiring reliable performance.

  • Scalable and Customizable

    • Supports LVDS-to-HDMI customization (MOQ of 200), enabling easy integration into various display systems.

  • Power Efficiency

    • Operates with DC12V input and a power consumption of ≥15W, ensuring low energy usage while maintaining high performance.

  • Software and Development Support

    • Pre-installed with Linux OS, offering full source code access to u-boot, kernel, drivers, and development tools for custom application development.

General Features

  • Processor: Allwinner T113-i (1.2GHz Dual-core ARM Cortex-A7, HiFi4 DSP)

  • Memory: 512MB DDR3

  • Storage: 4GB eMMC, 32KB EEPROM, MicroSD card slot

  • Power Supply: DC12V, ≥15W

  • Operating Temperature: -40°C to 85°C

Connectivity

  • RS232: 2 ports

  • RS485: 2 isolated ports

  • USB: 2x USB 2.0 Host ports

  • Ethernet: 1x 10/100Mbps

  • WiFi/Bluetooth: Supported with BT 5.0

  • 4G LTE: USB-based Quectel EC200MCNLF-I03-MN0CA module

  • Digital I/O: 2x Digital input, 2x Digital output

  • CAN: 2x isolated CAN ports

  • SIM Slot: 1x SIM card slot

  • Antenna Interfaces: 2x (WiFi/BT and 4G LTE)

Multimedia & Display Interfaces

  • LVDS Display Interface

  • HDMI Interface (Customizable with MOQ 200)

  • Audio Output

  • Buzzer

Physical Characteristics

  • Dimensions: 194mm x 158mm x 32.5mm

  • Certifications: CE, FCC

Software & Drivers

  • OS: Linux, Windows 10/11

  • AI Frameworks: TensorFlow, TensorFlow Lite, Keras, PyTorch, ONNX

  • Drivers: Full support for USB, Ethernet, LVDS, 4G LTE, Audio, Touch, CAN, GPIO, and RS232/RS485.