If there's one maneuver that stresses drivers, it's looking for a parking space in the city. This, however, is changing with the implementation of smart solutions.
According to Libelium, a company that provides technology solutions based on the Internet of Things (IoT), applying this technology reduces traffic volume by 8%, gas emissions by 40%, kilometers travelled by a car to park by 30% and time spent parking by 43%.
In a crowded place like the image below, image processing is a hard task. The best feasible solution that can be used to have a smart parking system setup is by using sensors.
INCREASES
- Optimization of parking spaces in urban and private areas
- Management of special parking spots: zones for emergency vehicles, loading or cab areas, parking spaces for people with disabilities, electric vehicle recharging points
- Parking revenues by up to 35%
- Reputation of being a greener city/facility
- Urban mobility and city planning
- Dynamic pricing strategies based on occupancy
REDUCES
- Traffic volume: -8%
- Gas emissions: -40%
- Km. travelled: -30%
- Time spent: -43%
- Parking violations
- Noise pollution
- Fuel consumption
- Drivers’ anxiety or fatigue
- Arduino UNO REV3
- UltraSonic Sensors (HC - SR04)
We tried object detection using YOLOv7 for an image taken from the best angle and these were the results:
