The concept of "machine vision" today includes: computer vision, visual recognition, image analysis and processing, etc.
Today our development team is ready
offer developers the following computer vision capabilities:
1. Scanning a barcode with its further processing and triggering outputs to control loads or devices;
2. Connection of RGB sensors and light sensors;
3. Connecting IR sensors;
4. Connection of laser rangefinders (LIDAR); 5. Line sensors.
All these sensors, depending on their purpose, can be integrated into a wide range of automation, robotics and intelligent systems tasks.
Good day friends, I want to share, maybe someone was attracted by such a decision.
Not long ago I developed a real and software prototype (the Real time FSM included in the framework) of color recognition by counting pixels in a given area. During the experiments, it turned out that the method allows identifying some objects with the correct geometry.
You will need a high resolution USB or RS232 camera (maybe a microscope, etc.) to work.
The module recognizes colors, gradations and geometric (2D) colors in the designated area. The coordinates of the region can be read. Also for parametric software experiments for accurate calibration. In addition, you have the ability to manage events (open logic outputs on 16 channels).
You can also set the scan time and frequency.
The calibration procedure allows you to adapt the system to ambient lighting, camera and video card parameters, as well as to the properties of the material surface.
In the video, it is incredibly noticeable how the camera was catching yellow pixels at the border of the red marker, which is the result of the glare of the LED lamp.