This product is EOL. Please order the new version UnitV-OV7740

Description

UnitV-OV2640 is an AI vision processing camera unit equipped with the Kendryte K210, integrating a dual-core 64-bit RISC-V CPU and a neural network processor edge computing system-on-chip. The UnitV-OV2640 AI camera is very compact, making it suitable for embedding into various devices. It has machine vision processing capabilities, supports multiple image recognition functions (such as real-time acquisition of the size and coordinates of detected objects, and real-time acquisition of the types of detected objects), and can perform convolutional neural network calculations under low power consumption. Therefore, UnitV-OV2640 is an excellent zero-threshold machine vision embedded solution. It supports the MicroPython development environment, making your project development code more concise. Equipped with the OV2640 2-megapixel image sensor, it is an ideal choice for machine vision projects. The body features two programmable buttons and a front-facing RGB LED indicator for easy status display. The bottom provides a HY2.0-4P compatible interface and a TYPE-C interface for connecting to the main control device. It supports TF card expansion for easier access to related 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
• On-board hardware resources:
  • Flash: 16M
  • Camera: OV2640
  • Buttons: 2
  • Status LED: WS2812 LED
  • Expansion card interface: TF card/microSD
  • Interface: HY2.0/compatible GROVE

Includes

• 1 x UnitV-OV2640
• 1 x HY2.0-4P Grove cable (20cm)
• 1 x USB Type-C cable (1m)

Applications

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

Specifications