Build car speed detection system and empty parking spot detection system using OpenCV, Pytorch, CNN, Keras, and SSD
Sub Category
- Data Science
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Objectives
- Learn how to build car speed detection system using OpenCV, Pytorch, and Single Shot Multi Box Detector
- Learn how to train empty parking spot detection system using Keras and Convolutional Neural Network
- Learn how build empty parking spot detection system using OpenCV
- Learn how to extract parking spot coordinate using OpenCV
- Learn how a car speed detection system works. This section will cover vehicle detection, trajectory estimation, speed calculation, and speed limit check
- Learn how empty parking spot detection systems work. This section will cover data collection, image preprocessing, feature extraction, and object detection
- Learn how to create function to detect speed
- Learn how to set speed limit and check if the speed exceeds the speed limit
- Learn how to create and issue speeding ticket
- Learn how to calculate frame rate using OpenCV
- Learn how to create function to count how many empty parking spot
- Learn about computer vision applications in traffic management, such as getting to know its use cases, technical limitations, and technologies that will be used
- Learn how to play video using OpenCV
- Learn how to detect motion using OpenCV
- Learn how to perform image processing using OpenCV
- Learn how to conduct accuracy and performance testing on car speed and empty parking spot detection systems
Pre Requisites
- No previous experience in object detection is required
- Basic knowledge in Python and Pytorch
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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