Visual Parking Slot Identification System
An automatic parking slot identification system can become an essential part of signifying the importance of searching out vacant parking space especially in today?s urban environment. Such efficient systems implemented in commercial areas would definitely aid not only frequent commuters but also vi
2025-06-28 16:24:58 - Adil Khan
Visual Parking Slot Identification System
Project Area of Specialization Artificial IntelligenceProject SummaryAn automatic parking slot identification system can become an essential part of signifying the importance of searching out vacant parking space especially in today’s urban environment. Such efficient systems implemented in commercial areas would definitely aid not only frequent commuters but also visitors. Therefore, researchers are devising methods for efficient implementation of such systems recently. Inspired by this our project aims to establish and implement a sensor-free solution leveraging computer vision technology. We plan to employ a set of cameras in combination with video processing and machine learning to develop an indigenous solution that is adaptable to outdoor environments. The expected outcome includes a system that runs with minimal power and is made the best fit for the market with commercialization potential.
Project ObjectivesTo design and develop a sensor-less automatic parking slot identification solution using the already implemented infrastructure based on CCTV IP cameras and deep learning.
Project Implementation MethodThe use of advanced learning technologies including Machine Learning and Deep Learning algorithms enhanced for Computer Vision applications are used using different software especially open-source Python environments. In this project, the feed from the cameras installed in the parking slot is analyzed through software solutions running Deep Learning for mapping the whole areas into potential parking slots in the first phase. Each slot is then categorized as filled/vacant based on the features acquired for the parking slots. In order to develop a generalized solution, the technique would be designed in such a way that it works equally well for parking spaces near and far from the cameras. To avoid blind spots the feed from multiple cameras would be stitched and combined to create a virtual map of the whole area for parking slot identification.
Benefits of the ProjectOwing to the advancement in our technology, our Final Year Project destines a solution to a real-world problem. The engineering solutions need to be performed with accuracy and diligence. It can easily be commercialized since it is a sensor-free technology- a budget cut-off. The infrared sensor-based technology does the job, but it isn't cost-effective, installment of sensors per parking slot can have huge financial costs, especially for larger parking systems adding on the maintenance costs later. On the contrary, cameras are one-time budget-friendly equipment that provides coverage for a larger area. Despite the monetary differences between the two, the sensors do help identify the vacant parking spots but cameras can provide in-depth information along with it, like license plate identification and colors of the vehicle in case any suspicious activity is recorded. This makes the use of cameras and recordings a more reliable and accurate method. The camera system is a way more advanced method owing to security and financial concerns as compared to the IR sensors. The project has a cost-effective nature, the current outdated parking spot detection method in our country can be topped off with better technology. The present parking slot systems though rarely implemented use sensor technologies and can be costly, considering the cost of individual design components for each parking space. Our program is cost and energy effective with the use of only computational powers of coding and the software world. The struggle of finding a spot at the expense of time can be resolved with this autonomous and automatically updated system. The equipment needed for our project is:
- A set of cameras: To record and store data to be imported later on.
- A Screen: For displaying the correct parking slot which is free.
- A Router: In order to modernize our system, an Internet connection will ensure that data and traffic are recorded from all sides at all times.
- A Laptop: To store all the feed from the cameras, instill programming activities to formulate an efficiently working algorithm for identification of the free slot, using software like Tensor Flow, etc.
The following program and fund will help us build a working prototype of our design, and will enable us to improve the prototype of our parking system increasing the chances of commercialization.
Technical Details of Final DeliverableUse of Machine learning to map real-time parking slots on a program. The detection of filled and vacant space using Artificial Intelligence and Computer Vision. Software tools including OpenCV, Pillow, and Scikit-Image would be leveraged for computer vision algorithms while tools such as Tensorflow, Keras, and Scikit-Learn would be used for detection and analyses of the video feed.
Final Deliverable of the Project HW/SW integrated systemCore Industry TransportationOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Industry, Innovation and Infrastructure, Life on LandRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 79999 | |||
| High Resolution IP CCTV Cameras with Mount | Equipment | 2 | 10000 | 20000 |
| Ethernet Router with cables/connectors etc | Equipment | 1 | 8000 | 8000 |
| Display Screen (LED) 21 in or above | Equipment | 1 | 12000 | 12000 |
| Edge Device (for deployment) | Equipment | 1 | 30000 | 30000 |
| Dataset Annotation | Miscellaneous | 1 | 9999 | 9999 |