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autorccar

OpenCV Python Neural Network Autonomous RC Car

final-project

iot based college project

object-detection

Introduction The project presents an efficient method for object detection and demonstrates its use for real-time vision on-board vehicles. The work is closely based on Paul Viola’s face detection method [1], except that the system here was trained to detect objects related to traffic in order to assist the auto pilot on smart vehicles. The idea was adapted from D M Gavrila’s paper [2] REAL-TIME OBJECT DETECTION FOR "SMART" VEHICLES. Objective The target is to create Haar feature-based cascade classifiers by training the system with an appropriate amount of traffic related information in order to detect vehicles, pedestrians and traffic signs in real-time. Thus, this system in addition to driving assistance/collision avoidance, could further find its application in tracking and recognition.

opencv

Open Source Computer Vision Library

vehicle-and-pedestrian-detection-using-haar-cascades

Real Time Detection and Classification of Vehicles and Pedestrians Using Haar Cascade Classifier

vehicle-number-plate-detection

The objective is to design an efficient automatic authorized vehicle identification system by using the vehicle number plate. The system is implemented on the entrance for security control of a highly restricted area like military zones or area around top government offices e.g. Parliament, Supreme Court etc. The developed system first detects the vehicle and then captures the vehicle image. Vehicle number plate region is extracted using the image segmentation in an image. Optical character recognition technique is used for the character recognition. The resulting data is then used to compare with the records on a database so as to come up with the specific information like the vehicle’s owner, place of registration, address, etc. The system is implemented and simulated in MATLAB, and it performance is tested on real image. It is observed from the experiment that the developed system successfully detects and recognize the vehicle number plate on real images.

vehicle-number-plate-detection-using-matlab

to detect a vehicle’s number plate from the images stored in a database. That is, it aims at detecting the license plate of a vehicle and then extracting the information regarding that vehicle using MATLAB software

vehicleno.detection

Using Matlab , vehicle no. plate has been detected and the number has been displyed on the command window