AI CAMERA – UnitV-OV2640

UnitV-OV2640 is an AI vision processing camera unit equipped with the Kendryte K210, integrating a dual-core 64-bit RISC-V CPU and an advanced neural network processor edge computing system-on-chip suitable for embedding into various devices.

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AED 112 

MC4.0 AI CAMERA – UnitV-OV2640

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 an advanced neural network processor edge computing system-on-chip suitable for embedding into various devices.

Benefits of the kit
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  • Enables AI-powered vision projects such as object detection, classification, and tracking
  • Built with Kendryte K210 AI processor, providing fast edge AI processing without needing a PC
  • Supports real-time recognition of objects, shapes, and target coordinates
  • Provides smooth performance with dual-core 64-bit RISC-V CPU and dedicated Neural Network Processor (KPU)
  • Ideal for robotics applications like autonomous navigation, smart sorting, and target following
  • Includes RGB status LED for quick visual feedback during operation
  • Supports development using MicroPython and MaixPy IDE, making it easy for students and developers to program AI vision applications
  • Supports TF/microSD card expansion for storing images, data, and AI models
  • Compact design with Grove-compatible HY2.0 interface for easy plug-and-play integration
  • Perfect for STEAM education, AI learning, and advanced robotics competitions

Key Features

  • Equipped with the OV2640 2-megapixel image sensor
  • Two programmable buttons
  • Front-facing RGB LED indicator for easy status display.
  • Supports TF card expansion
  • Supports the MicroPython development environment
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SPECIFICATION :

  • 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

APPLICATIONS :

  • Object detection/classification
  • Real-time acquisition of target size and coordinates
  • Real-time acquisition of detected target types
  • Shape recognition
WHAT’S IN THE BOX
  • 1 x UnitV-OV2640
  • 1 x HY2.0-4P Grove cable (20cm)
  • 1 x USB Type-C cable (1m)