{"id":1826,"date":"2015-03-13T00:00:51","date_gmt":"2015-03-13T07:00:51","guid":{"rendered":"http:\/\/192.168.3.4\/?p=1826"},"modified":"2018-01-09T06:49:48","modified_gmt":"2018-01-09T14:49:48","slug":"tft-lcd-and-nearir-camera-modules-on-the-rpi","status":"publish","type":"post","link":"https:\/\/www.cloudacm.com\/?p=1826","title":{"rendered":"SimpleCV on the RPi"},"content":{"rendered":"

Introduction – keep your eye on the ball
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What is CV, or Computer Vision?\u00a0 A search online will give you a definition<\/a>, “Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions…”<\/p>\n

Basically, it is using any image sensor to influence the action of a computer.\u00a0 There are some fundamental sensors that will provide this such as a photo resistor<\/a> or IR proximity sensor<\/a>.\u00a0 I’ve used these types<\/a> of vision sensors with micro controllers to trigger alarms and take action before.\u00a0 But CV is a bit more sophisticated than that.<\/p>\n

The RPi can do the fundamental light sensor tasks like its micro controller counter parts.\u00a0 However, it is more adapt at processing complex data from array sensors like camera modules and line scanners.\u00a0 This is were processing tools like OpenCV and Simple CV come into play.<\/p>\n

OpenCV<\/a> was developed by Intel at their\u00a0Russian research facility in Nizhny Novgorod<\/a>.\u00a0 Here is a video from Francesco Piscani detailing the install steps, of which I validated.
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