Search results
Results From The WOW.Com Content Network
The trained neural net can then be used in real time to detect new traffic signs in real time. Self driving car companies including Waymo and Uber are generating and outsourcing traffic-sign data sets along with map and navigation companies like Tom Tom. [9] Advanced computer vision and neural network techniques make this goal highly efficient ...
CCTV cameras can be used to help traffic control centres by giving them live data, allowing for traffic management decisions to be made in real-time. By using ANPR on this footage it is possible to monitor the travel of individual vehicles, automatically providing information about the speed and flow of various routes.
The Viola–Jones object detection framework is a machine learning object detection framework proposed in 2001 by Paul Viola and Michael Jones. [1] [2] It was motivated primarily by the problem of face detection, although it can be adapted to the detection of other object classes. In short, it consists of a sequence of classifiers.
Traffic sign recognition (TSR) systems can recognize common traffic signs, such as a “stop” sign or a “turn ahead” sign, through image processing techniques. [54] This system takes into account the sign's shape, such as hexagons and rectangles, and the color to classify what the sign is communicating to the driver. [54]
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]
Snort is a free open source network intrusion detection system (IDS) and intrusion prevention system (IPS) [4] created in 1998 by Martin Roesch, founder and former CTO of Sourcefire. [ 5 ] [ 6 ] Snort is now developed by Cisco , which purchased Sourcefire in 2013.
The Sydney Coordinated Adaptive Traffic System, abbreviated SCATS, is an intelligent transportation system that manages the dynamic (on-line, real-time) timing of signal phases at traffic signals, meaning that it tries to find the best phasing (i.e. cycle times, phase splits and offsets) for a traffic situation (for individual intersections as well as for the whole network).
Toyota Prius with openpilot installed An old version of Cabana, a CAN Bus traffic visualiser, now part of openpilot tools A user annotating a drive. openpilot is an open-source, semi-automated driving software by comma.ai, Inc.