Parkva Watch: Detect parking violations 24/7 without human spotters
Detecting unauthorized parking on private parking lots is challenging for many property owners and managers. Unauthorized parking can lead to a shortage of parking spaces, frustration among tenants or customers, and potentially lost revenue. While human spotters have traditionally been used to enforce parking rules, recent technological advancements have led to the development of computer vision systems that can be more effective at detecting unauthorized parking. In this blog, we will explore why using Parkva Watch (intelligent IP cameras running advanced, proprietary video analytics) is better for detecting unauthorized parking on private parking lots than using human spotters.
Consistency and Reliability: One of the main advantages of using Parkva Watch is consistency and reliability. Our computer vision algorithms are trained to detect unauthorized parking consistently and reliably, whereas human spotters may make errors due to distractions or fatigue. This means that property owners and managers can have more confidence in the accuracy of parking enforcement, leading to more efficient use of resources and a better experience for tenants or customers.
Cost-Effective: While employing human spotters can be costly, installing Parkva Watch is a one-time hardware expense, plus a monthly subscription, that can provide long-term cost savings. This can make Parkva Watch a more cost-effective solution for property owners and managers (or patrol and towing companies), especially those who manage multiple parking lots or large properties.
24/7 Monitoring: Parkva Watch can monitor the parking lot 24/7, which is impossible with human spotters. This ensures that parking enforcement is happening continuously, even during off-hours. This is especially important for businesses that operate outside of regular business hours or properties that experience high traffic at all hours.
Objective Decision Making: Human spotters may be biased or subjective when enforcing parking rules. On the other hand, Parkva Watch algorithms are programmed to make objective decisions based on pre-defined rules and parameters. This can help to prevent potential disputes or conflicts between tenants or customers and parking enforcement personnel.
Scalability: Parkva Watch can be easily scaled to accommodate large or multiple parking lots, making it more efficient for property owners to manage parking enforcement. This can save time and resources, allowing property owners and managers to focus on other areas of property management.
Predatory Towing Ordinances: We believe that using Parkva Watch to detect private property parking violations meets the legislative intent of predatory towing ordinances by providing a more objective and consistent method of identifying unauthorized parking and by helping to prevent predatory towing practices. It ensures that only vehicles parked in violation of the property owner's rules are towed, which promotes fairness and consistency in enforcing private property parking regulations.
In conclusion, using Parkva Watch is a better method for detecting unauthorized parking on private parking lots because of its consistency, reliability, cost-effectiveness, 24/7 monitoring, objective decision-making, scalability, and ordinance compliance. Property owners and managers looking to improve their parking enforcement efforts should consider implementing Parkva Watch, and leverage recent advances in video monitoring with computer vision.