Towards a cost-effective Image-Sensing-Smart-Parking Systems (ISenSmaP)

2021-2022
In partnership with Bell Canada, NRC, Western University

Team Members

Dr. Anwar Haque
Dr. Anwar Haque PI
Yalda Mohsenzadeh
Yalda Mohsenzadeh Collaborator
Taufiq Rahman
Taufiq Rahman Collaborator
Aakriti Sharma
Aakriti Sharma MSc Student
Moinul Syed
Moinul Syed MSc Student
Zihang Lin
Zihang Lin UG Student

Summary

With the advancement of smart technologies, people seek secure and convenient solutions in every walk of their lives. According to statistics, in the UK, drivers on average spent 44 hours a year searching for parking spots (estimated cost impact £23.3 billions a year). It is estimated that about one-third of the vehicles traveling a busy city at any given time are searching for parking spots. Smart parking is one of the intelligent service domains increasing in popularity because of its attractive service offerings such as convenience, safety, time savings, and economic benefit, especially in busy city life. The recent development in 5G technology will further support and trigger the growth of smart parking solutions that needs low latency and high bandwidth for its real-time processing. Existing smart parking systems use varieties of sensors that detect a car’s presence in parking lots. Wireless sensor nodes are deployed in the parking spaces, and the status of parking spaces is monitored and updated on the central server through sensor nodes and WI-FI/LTE networks. The above sensor-based smart parking technologies are expensive to maintain and complex to manage, and do not scale well for large parking spaces. Our proposed idea of detecting parking spot occupancy status by using real-time video feed is novel and addresses the challenges above while offering convenience, safety, and economic benefits.

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