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Description
ParkingRhino is an innovative smart parking platform that leverages IoT technology to solve the complex parking issues faced by urban environments. By utilizing advanced sensors, it provides real-time occupancy information displayed through user-friendly dashboards, allowing drivers to conveniently search, reserve, and navigate to available parking spots from their mobile devices. The platform incorporates artificial intelligence and machine learning techniques to analyze CCTV video feeds, particularly focusing on open-street parking availability. Its unique predictive model, which is currently patent-pending, assesses historical data alongside current events to accurately project future parking demand, aiding businesses in optimizing their pricing strategies. Seamlessly integrating with existing infrastructure like sensors and parking meters, ParkingRhino offers a cohesive system for monitoring both current and past parking trends. This solution is beneficial for a diverse range of stakeholders, including businesses looking to enhance their revenue and streamline traffic flow, as well as drivers in search of immediate parking options with up-to-date guidance. Overall, ParkingRhino aims to transform the urban parking experience through its comprehensive and data-driven approach.
Description
Experience a revolutionary shift in parking ease with our advanced Parking Management solutions. Our system not only features intelligent monitoring but also optimizes operations, fundamentally altering the landscape of contemporary parking. The integration of automated payment processing simplifies user transactions, while real-time monitoring fortifies security and enhances overall efficiency, presenting a robust array of features. Both property owners and users enjoy a streamlined and user-friendly process, guaranteeing a stress-free parking experience.
Ranger's cutting-edge solution – PatrolWorks with LPR (PW+LPR) – opens new avenues for enhancing parking management on private properties. This offering seamlessly combines Permitting and Enforcement into a singular, cohesive solution. By adopting PW+LPR, property managers can realize substantial time efficiencies, elevate services and satisfaction for residents, refine professional management processes, and achieve greater returns on asset investments in parking facilities. This innovative approach ultimately leads to a more organized and effective parking environment for everyone involved.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
ParkingRhino
Founded
2014
Country
India
Website
www.parkingrhino.com/index.html
Vendor Details
Company Name
RangerSST
Founded
2000
Country
United States
Website
www.patrolworksparkingsolutions.com
Product Features
Parking Management
Access Controls
Appeals Management
Citation Tracking
Custom Vehicle Owner Alerts
Damage Tracking
Electronic Tire Chalking
Event Management
Loyalty Program
Mobile Parking Signs
Payment Processing
Permit Management
Receipt Management
Reservations Management
Revenue Management
Ticketing
Tow Management
Violation Tracking
Product Features
Parking Management
Access Controls
Appeals Management
Citation Tracking
Custom Vehicle Owner Alerts
Damage Tracking
Electronic Tire Chalking
Event Management
Loyalty Program
Mobile Parking Signs
Payment Processing
Permit Management
Receipt Management
Reservations Management
Revenue Management
Ticketing
Tow Management
Violation Tracking
