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OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. [2] Originally developed by Intel , it was later supported by Willow Garage , then Itseez (which was later acquired by Intel [ 3 ] ).
Video4Linux (V4L for short) is a collection of device drivers and an API for supporting realtime video capture on Linux systems. [1] It supports many USB webcams, TV tuners, and related devices, standardizing their output, so programmers can easily add video support to their applications.
Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]
Fujifilm FinePix X100. This is a list of large sensor fixed-lens cameras, also known as premium compact cameras or high-end point-and-shoot cameras.These are digital cameras with a non-interchangeable lens and a 1.0‑type (“1‑inch”) image sensor or larger, excluding smartphones and camcorders.
Automatic face detection with OpenCV. Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. [1] Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene. [2]
In 2007, average speed cameras resulted in 1.7 million fines for overspeeding out of a total of 9.7 millions. According to the Dutch Attorney General, the average number of violation of the speed limits on motorway sections equipped with average speed cameras is between 1 and 2%, compared to 10 to 15% elsewhere. [74]
The UVC driver has been included in the Linux kernel source code since kernel version 2.6.26. Detection of UVC 1.5 devices was introduced in Linux kernel version 4.5, [ 5 ] but support in the driver for UVC 1.5 specific features or specific UVC 1.5 devices was not added and MPEG-2 TS, H.264 and VP8 payloads are not supported yet.
Image registration is an essential part of panoramic image creation. There are many different techniques that can be implemented in real time and run on embedded devices like cameras and camera-phones.