JeVois  1.5
JeVois Smart Embedded Machine Vision Toolkit
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JeVois Smart Embedded Machine Vision Toolkit

Welcome to the documentation of the JeVois Smart Embedded Machine Vision Toolkit.

New users, be sure to check out JeVois Start.

The JeVois toolkit is primarily designed to run on embedded smart camera hardware, although it can also run on recent Linux-based computers, including Raspberry Pi. The toolkit facilitates image capture from a camera sensor, processing of the captured images through some machine vision algorithm, and sending the processed results to a host computer over a USB link.

To the host computer, a JeVois smart camera appears like a regular USB webcam, and is fully plug-and-play with no driver installation needed on reasonably recent versions of Windows, MacOS, and Linux: A JeVois smart camera is compliant with the USB Video Class (UVC) revision 1.1. Like with regular USB webcams, users can select image resolution, framerate, and adjust camera settings such as brightness, exposure, color balance, etc. But a JeVois smart camera outputs images that are the results of processing camera frames through some vision algorithm, as opposed to simply outputing the raw camera frames like a regular USB webcam.

In addition to video outputs, a JeVois smart camera includes one hardware serial port and one serial-over-USB port. Simple text strings can be sent by the smart camera over these ports, for example to indicate the coordinates at which an object of interest was found in the camera video stream. These are intended for use by embedded controllers, including Arduino or any other that supports serial communications (UART with TTL levels at 3.3V or 5V). Users or micro-controllers can also send simple text commands to the smart camera over the serial ports.

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Early JeVois platform prototype with quad-core ARM processor inside. Back view shows Mini-USB port, serial port, Micro-SD slot, and status LED.

The JeVois smart camera is a compact (39mm x 32mm x 19mm, or 1.5" x 1.25" x 0.75"), USB-powered, self-contained and powerful quad-core ARM computer running the Linux operating system. For ease of programming and configuration, all of the operating system, core JeVois software, and any necessary data files are stored on a single high-speed Micro-SD card that can easily be removed and plugged into a desktop or laptop computer. This also makes the platform "unbrickable" and very hacking-friendly.

The JeVois software framework combines custom Linux kernel drivers for camera sensor and for USB output, written in C, and a custom high-level vision processing framework, written in C++-17. This framework is designed for easy integration with other open-source libraries, including tiny-dnn, OpenCV, boost, zBar, Eigen, turbojpeg, etc. The JeVois operating system infrastructure is built using the buildroot framework, for which hundreds of libraries and modules are already available, and adding new libraries or modules is relatively easy. The core JeVois software is managed by cmake, which makes it easy to create new vision processing modules, and which allows simultaneous compilation of the same source code for a host computer (e.g., Intel-based Linux desktop used for development, debugging and testing) and for the platform hardware (ARM processor).

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Hardware and software JeVois frameworks

Table of contents

For tutorials on how to use and program JeVois, see the JeVois Tutorials.