Apisak Srihamat's repositories
CAR-DETECTION
car detection using the UIUC car database
cezerin2-store
cezerin2-store
compose
Define and run multi-container applications with Docker
firebase_auth_demo_flutter
Reference Authentication Flow with Flutter & Firebase
flutter_facebook_login
A Flutter plugin for allowing users to authenticate with native Android & iOS Facebook login SDKs.
pytorch_objectdetecttrack
Object detection in images, and tracking across video frames
samples
A collection of Flutter examples and demos
servicecheck
bash script to check if service is running on linux
skills-copilot-codespaces-vscode
My clone repository
Speed-Estimation-of-Vehicles-with-Plate-Detection
The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followed by tracking down the vehicles and estimating their speeds with the help of their respective locations, ppm (pixels per meter) and fps (frames per second). Now, the cropped images of the identified trucks are sent for License Plate detection. The CCA (Connected Component Analysis) assists in Number Plate detection and Characters Segmentation. The SVC model is trained using characters images (20X20) and to increase the accuracy, 4 cross fold validation (Machine Learning) is also done. This model aids in recognizing the segmented characters. After recognition, the calculated speed of the trucks is fed into an excel sheet along with their license plate numbers. These trucks are also assigned some IDs to generate a systematized database.
tensorflow_object_counting_api
🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!