UNITV K210 EDGE COMPUTING AI CAMERA(OV7740), M5STACK U078-C

Description

UnitV, equipped with the OV7740 sensor, is M5Stack's new AI Camera powered by the Kendryte K210, an advanced edge computing system-on-chip (SoC) featuring a dual-core 64bit RISC-V CPU and a state-of-the-art neural network processor. This AI camera is distinguished by its machine vision capabilities, offering unprocessed acceptability to AI visioning with high energy efficiency and affordability. Developed in collaboration with Sipeed, it supports the MicroPython environment, simplifying programming for users.

The UnitV AI Camera, equipped with an OV7740 image sensor, is an excellent choice for machine vision projects. It offers a MicroPython development environment, streamlining code for project development. Additionally, the camera is outfitted with two programmable keys and an RGB LED indicator on the front for easy status monitoring.

At the bottom, there is a HY2.0*4P interface and a Type-C interface compatible with Grove, facilitating easy connection to the main controller. The camera also supports TF card use for expanded memory, making the access to related materials and model files more convenient.

Product Features:

• Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal)
• Dual Independent Double Precision FPU
• 8MiB 64bit width On-Chip SRAM
• Neural Network Processor(KPU) / 0.8Tops
• Field-Programmable IO Array (FPIOA)
• AES, SHA256 Accelerator
• Direct Memory Access Controller (DMAC)
• Micropython Support
• Firmware encryption support
• On-board Hardware resources:
• Flash: 16M
• Camera :OV7740
• Button: button * 2
• Indicator light: WS2812 LED
• External storage: TF card/Micro SD
• Interface: HY2.0/compatible GROVE

Includes:

• 1x UNIT-V(include 20cm 4P cable and USB-C cable)

Applications:

• Face recognition/detection
• Object detection/classification
• Obtaining size and coordinates of the target in real-time
• Obtaining the type of detected target in real-time
• Shape recognition
• Video recorder

Links: Product_Wikipage