JeVois-A33 Smart Machine Vision Camera - Camera only

  • $49.99

Inventory Available Estimated April 30, 2017

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Pre-order only. Estimated availability and shipping April 30, 2017

The JeVois-A33 smart machine vision camera combines a camera sensor, embedded quad-core computer, and USB video link in a tiny package.

Included: one JeVois-A33 smart camera + one micro-serial cable to connect to an Arduino or similar.

Simple out-of-the box getting started instructions at

Hardware Specifications

  • Processor: Allwinner A33 quad core ARM Cortex A7 processor @ 1.34GHz with VFPv4 and NEON, and a dual core Mali-400 GPU supporting OpenGL-ES 2.0.
  • Memory: 256MB DDR3 SDRAM.
  • Solid state disk: micro SD slot for firmware and data, supports up to 25Mbyte/s.
  • Camera sensor: 1.3MP camera with 
    • SXGA (1280 x 1024) up to 15 fps (frames/second) 
    • VGA (640 x 480) up to 30 fps 
    • CIF (352 x 288) up to 60 fps 
    • QVGA (320 x 240) up to 60 fps 
    • QCIF (176 x 144) up to 120 fps 
    • QQVGA (160 x 120) up to 60 fps 
    • QQCIF (88 x 72) up to 120 fps
  • USB device interface: mini USB port for power, video streaming (UVC webcam standard), and serial-over-USB command-line interface and text data streaming.
  • Hardware serial port: 5V or 3.3V (selected through VCC-IO pin) micro serial port connector to communicate with Arduino or other embedded controllers.
  • Power: 3.5 Watts maximum from USB port. Requires USB 3.0 port or Y-cable to two USB 2.0 ports.
  • Thermal: Integrated cooling fan, maintain stable 1.34GHz speed under full processor load, no overheating or thermal throttling.
  • LED: One two-color LED: Green: power is good. Orange: power is good and camera is streaming video frames.
  • Size: 28 cc or 1.7 cubic inches (plastic case included with 4 holes for secure mounting).

Available machine vision software modules

Working machine vision modules (open-source software at currently include:

  • Visual attention: find interesting things.
  • Gist: recognize different places.
  • Deep neural networks: Read digits, recognize objects using neural nets.
  • ArUco: detect & decode simple patterns, use them as object tags for robots.
  • QRcode and barcode: Detect & decode.
  • Background subtraction: find moving things.
  • GPU image processing examples.
  • NEON-accelerated image processing example (blur filter runs 6x faster using NEON multimedia processor instructions compared to standard CPU instructions).
  • Eye tracking: Build your own 120Hz eye tracker.
  • Features: Dense SIFT feature extraction.
  • Multicore processing: Quad-core edge detection demo. Almost all modules exploit multicore technology. 
  • Coler tracking: Detect and track objects by their color.
  • Motion flow detection: Fast optical flow.
  • Autonomous driving: Detect and follow roads for autonomous cars.
  • Object matching: Detect and recognize objects using SURF key points.
  • Image segmentation: Segment images into superpixels.
  • Video capture: Save video to microSD for later analysis.
  • Passthrough: Use your JeVois camera as a standard USB camera capable of up to 120 frames/s.

Many more to come, share your own at, download modules developed by others.

Developer environment

  • All software open source (GPL)
  • Full Linux operating system, boots in 5 seconds
  • Custom kernel modules for camera & USB
  • Buildroot framework to easily add software packages and create SD image
  • JeVois C++17 video capture, processing & streaming framework
  • Switch machine vision modules on the fly by changing output resolution
  • Download pre-programmed machine vision modules or create your own
  • CMake build system
  • Full cross-compiler suite (compile all software on your desktop)
  • Compile and run the same software on desktop and on JeVois hardware, at the same time (very useful for development & debugging)
  • Operating system and vision software all stored on microSD card, hacker-friendly and unbrickable. Smart camera can use microSD to save data.
  • Included software libraries (see for details):
    • Neuromorphic algorithms for visual attention & scene understanding
    • OpenCV 3.2 machine vision algorithms
    • All opencv-contrib modules (object recognition, ArUco, etc)
    • ZBar library for barcode & QRcode detection and decoding
    • tiny-dnn library for deep convolutional neural networks
    • GPU-accelerated image processing using OpenGL ES2.0 shaders
    • Support for NEON multimedia processor instructions
    • Vlfeat library for visual feature computation
    • OF_DIS library for fast motion flow computation
    • Eigen3, TBB, OpenMP, etc


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