As the popularity of rideshare services like Uber and Lyft continue to rise, it has become increasingly difficult for municipalities and airports alike to manage the curbside and reduce congestion caused by the constant pick-up and drop-off activities. In addition, double parking and blocking traffic lanes have become common, creating a hazardous environment for both drivers and pedestrians.
THE CHALLENGES OF RIDESHARE AND PICKUP
Our AI automated parking enforcement platform provides a comprehensive solution to the challenges of rideshare and drop-off/pickup management. By utilizing real-time data analytics and computer vision technology, our platform can detect and identify vehicles engaged in illegal activities such as double parking, blocking bike lanes, and stopping in no-stopping zones.
AUTOMATICALLY ISSUING CITATIONS
With our platform, municipalities can enforce parking regulations and reduce congestion by automatically issuing citations and fines to violators, without the need for manual monitoring by parking enforcement officers. Our system also provides customizable dashboards and reports, allowing municipalities to analyze and optimize their curbside management strategies.
AI AUTOMATED ENFORCEMENT
By implementing our AI automated parking enforcement platform, municipalities can create a safer and more efficient curbside environment for both drivers and pedestrians. Additionally, our platform can help increase revenue for municipalities by reducing lost revenue from illegally parked vehicles and unenforced citations.
HOW IT WORKS
WiseSight’s management platform is integrated with various enforcement and payment platforms to create the necessary tools and data for the enforcement agency.
The imaging system can support infrastructure-less operation, powered by a solar panel, along with cellular network connectivity.
WiseSight’s computer vision utilizes a unique Signature-Based object tracking technology and constantly scans the monitored parking area. The system will simultaneously process multiple video streams and images which are designed to capture every small detail of the vehicle, starting from the license plate (LPR), shape and color, unique identifiers such as sunroof and rims, dents, scratches, and even dirt. This data is combined and analyzed by a local processing unit, creating a unique identifier of the vehicle’s captured image.
OBJECT TRACKING TECHNOLOGY
Once the vehicle identifier is created, any other imaging systems installed throughout the monitored zone will stream their own vehicle-captured imaging data to a centralized processing AI platform. The centralized AI Engine uses sophisticated algorithms to analyze all captured data and creates a single trackable event of the vehicle movement session throughout the monitored area, whether it’s a surface lot or street curbside parking.
CENTRALIZED AI IMAGING ENGINE
As the system becomes operational and live feeds are streamed to the management platform, the captured data is used to monitor payment and parking compliance for the various space types such as - Hourly, Daily, Permit, Handicap-accessible, and other space-specific restrictions. The system will calculate and display captured revenue, and the revenue potential from missing payments and citations of the monitored zone. Additionally, the management platform shows real-time vacancy and occupancy, analyzes traffic and parking patterns, and enhances the monitored zone’s overall security.