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A vehicle tracking system combines the use of automatic vehicle location in individual vehicles with software that collects these fleet data for a comprehensive picture of vehicle locations. Modern vehicle tracking systems commonly use GPS or GLONASS technology for locating the vehicle, but other types of automatic vehicle location technology ...
The software aspect of the system runs on standard home computer hardware and can be linked to other applications or databases.It first uses a series of image manipulation techniques to detect, normalize and enhance the image of the number plate, and then optical character recognition (OCR) to extract the alphanumerics of the license plate.
Image of front toe angle 5 degrees (toe in) In automotive engineering, toe, also known as tracking, [1] is the symmetric angle that each wheel makes with the longitudinal axis of the vehicle, as a function of static geometry, and kinematic and compliant effects.
Automatic vehicle location (AVL or ~locating; telelocating in EU) is a means for automatically determining and transmitting the geographic location of a vehicle.This vehicle location data, from one or more vehicles, may then be collected by a vehicle tracking system to manage an overview of vehicle travel.
LoJack is a stolen-vehicle recovery and IoT-connected car system that utilizes GPS and cellular technology to locate users' vehicles, view trip-history, see battery levels, track speeding, and maintain vehicle-health via a native app. Prior to selling a vehicle, LoJack dealers can use the system to manage and locate inventory, view and manage battery-health, and recover stolen inventory.
1995: Oldsmobile introduced the first GPS navigation system available in a United States production car, called GuideStar. [20] The navigation system was developed in cooperation with Zexel. Zexel partnered with Avis Car Rental to make the system widely available in rental cars. This provided many in the United States general public with their ...
A missing car took time to track down, often requiring workers to walk rail yards looking at cars until it was located. In 1959 David Jarrett Collins approached his employer GTE Sylvania to use a newly developed computer system in conjunction with scanners to track railroad cars. [1]
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]
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