What you’ll learn
- 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
How to Enroll Detecting Car Speed & Empty Parking Spot with Pytorch & CNN course?
How many members can access this course with a coupon?
Detecting Car Speed & Empty Parking Spot with Pytorch & CNN Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!
