CAMTWIST STUDIO WINDOWS MAC OS
CAMTWIST STUDIO WINDOWS SERIAL
CAMTWIST STUDIO WINDOWS FULL

CAMTWIST STUDIO WINDOWS MAC OS

Windows, Mac OS X:В No drivers are needed.В You can use the built-in Photobooth app to triggerВ the default JeVois intro machine vision module, but Photobooth does not allow you to change resolution and hence to trigger other JeVois modules.

Use the free AMCap video capture software or free OBS Studio software on Windows to grab video. Use the free guvcview or other video capture software. Linux (including Raspberry Pi):В No drivers are needed. A configuration file on the MicroSD card establishes the mapping between USB video resolution and frame rate, camera sensor resolution and frame rate, and vision algorithm to run. For example, may run the visual attention algorithm, while may run the QRcode detection algorithm. All you need then is to provide power to the JeVois camera's mini-USB connector (e.g., USB charger, USB battery bank).ДЇor video streaming over USB:В You can switch between different vision processing modes on the fly and at runtime, by selecting different camera resolutions and frame rates on your host computer. In such case, JeVois canВ simply stream commands to an Arduino or similar over itsВ serial port. The JeVois smart camera can work as a standalone computer, with no USB video streaming.

CAMTWIST STUDIO WINDOWS FULL

You can even start the smart camera in debug mode and log into it as you would do with any other Linux computer!Д®asily develop new machine vision pipelines on JeVois using full Python 3.7, numpy, scipy, and OpenCV 4.1.1.

CAMTWIST STUDIO WINDOWS SERIAL

You can interact with the camera over the USB link and over the serial (UART) link to change its behavior at run time. The JeVois smart camera runs a full-featured Linux operating system directly on the quad-core processor inside the camera.

OF_DIS library for fast motion flow computation.

Vlfeat library for visual feature computation.

Support for NEON multimedia processor instructions.

GPU-accelerated image processing using OpenGL ES2.0 shaders.

tiny-dnn library for deep convolutional neural networks.

ZBar library for barcode & QRcode detection and decoding.

All opencv-contrib modules (object recognition, ArUco, etc).

Neuromorphic algorithms for visual attention & scene understanding.

Included software libraries (used for the demos seen in the video):.

Smart camera can use microSD to save data.

Operating system and vision software all stored on microSD card, hacker-friendly and unbrickable.Compile and run the same software on desktop and on JeVois hardware, at the same time (very useful for development & debugging).Full cross-compiler suite (compile all software on your desktop).Download pre-programmed machine vision modules or create your own.Switch machine vision modules on the fly by changing output resolution.JeVois C++17 video capture, processing & streaming framework.Buildroot framework to easily add software packages and create microSD card image.Custom kernel modules for camera sensor & USB streaming run inside the smart camera.

Learn computer vision with JeVois by programming your own machine vision modules live on JeVois using Python + OpenCV 4.1.1.Full Linux operating system runs on the JeVois smart camera's quad-core processor, boots in 5 seconds.The JeVois software features the following components:

Camtwist studio windows