UnitV k210 Edge Computing AI Camera(OV7740) - m5stack-store UnitV K210 Edge Computing AI Camera(OV7740) UnitV k210 Edge Computing AI Camera(OV7740) - m5stack-store UnitV k210 Edge Computing AI Camera(OV7740) - m5stack-store UnitV k210 Edge Computing AI Camera(OV7740) - m5stack-store UnitV K210 Edge Computing AI Camera(OV7740) UnitV k210 Edge Computing AI Camera(OV7740) - m5stack-store UnitV k210 Edge Computing AI Camera(OV7740) - m5stack-store
  • UnitV k210 Edge Computing AI Camera(OV7740) - m5stack-store
  • UnitV K210 Edge Computing AI Camera(OV7740)
  • UnitV k210 Edge Computing AI Camera(OV7740) - m5stack-store
  • UnitV k210 Edge Computing AI Camera(OV7740) - m5stack-store
  • UnitV k210 Edge Computing AI Camera(OV7740) - m5stack-store
  • UnitV K210 Edge Computing AI Camera(OV7740)
  • UnitV k210 Edge Computing AI Camera(OV7740) - m5stack-store
  • UnitV k210 Edge Computing AI Camera(OV7740) - m5stack-store

UnitV K210 Edge Computing AI Camera(OV7740)

SKU:U078-C

Regular price $34.90

10+ In Stock

Shipping calculated at checkout.

Description

UnitV-OV7740 is a powerful AI vision processing camera unit equipped with the Kendryte K210 chip, integrating a dual-core 64-bit RISC-V CPU and an neural network processor edge computing system-on-chip.

This camera is compact and easy to embed into various devices, offering excellent machine vision processing capabilities. It supports multiple image recognition functions, such as real-time acquisition of the size, coordinates, and type of detected targets, and can perform convolutional neural network calculations even in low-power states, providing users with a zero-threshold machine vision embedded solution.

In terms of the development environment, it supports MicroPython, making the program code more concise during project development. The OV7740 image sensor it carries makes it an ideal choice for machine vision projects.

From a hardware configuration perspective, the device features two programmable buttons, a front-facing RGB LED indicator for status display, and a bottom-mounted HY2.0 x 4P interface and a TYPE-C interface for easy connection to the main control device. Additionally, it supports TF card expansion for memory, facilitating the use of relevant materials and model files.

Features

  • Dual-core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz (Normal)
  • Double-precision FPU
  • 8MiB 64-bit on-chip SRAM
  • Neural Network Processor (KPU) / 0.8Tops
  • Programmable I/O Array (FPIOA)
  • AES, SHA256 Accelerator
  • Direct Memory Access Controller (DMAC)
  • Supports MicroPython
  • Firmware encryption support
  • Onboard hardware resources:
    • Flash: 16M
    • Camera: OV7740
    • Buttons: 2
    • Status LED: WS2812 LED
    • Expansion card interface: TF card/microSD
    • Interface: HY2.0/compatible GROVE

Includes

  • 1 x UnitV-OV7740
  • 1 x HY2.0-4P Grove cable (20cm)

Applications

  • Object detection/classification
  • Real-time acquisition of target size and coordinates
  • Real-time acquisition of detected target types
  • Shape recognition
  • Video recording

Specifications

Specification Parameter
Kendryte K210 Dual-core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz (Normal)
SRAM 8MiB
Flash 16M
Input voltage 5V @ 500mA
KPU neural network size 5.5MiB-5.9MiB
Interface Type-C x 1, HY2.0-4P (I2C+I/O+UART) x 1
RGB LED WS2812 x 1
Buttons Custom buttons x 2
Camera OV7740 (30W pixels)
FOV 65°
External storage TF Card/microSD
Product Size 40.0 x 24.0 x 12.7mm
Product weight 8.5g
Package Size 54.0 x 37.0 x 15.0mm
Gross weight 14.5g
Casing material Plastic (PC)

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