Best Automatic License Plate Recognition (ALPR) Software of 2024

Upgrade your parking enforcement with gtechna’s cloud-based license plate recognition software for parking. Our AI-powered solution features both fixed and vehicle-mounted cameras that automate vehicle identification and monitoring, instantly capturing details like GPS location, vehicle images, and curb occupancy. With this software, you eliminate errors, reduce manual tasks, and catch parking violations quickly—enabling your team to cover more areas in less time and focus on higher-priority tasks. Our license plate recognition software for parking drives results. Cities using this technology are seeing a significant increase in revenue by closing enforcement gaps, all while reducing operational costs. Paired with remote enforcement technologies like Ticket-by-Mail, AI LPR automates the entire process from start to finish—no more physical interactions, creating safer, smoother parking enforcement for everyone.

IntelliVision facial recognition software searches a database of faces and compares them to the scene to find a match. Face Recognition detects faces within the camera's field-of-view - up to 15 at a time - and matches them with faces stored in the database. Anti-spoofing is achieved by "liveness" testing, which does not require a stereo or 3D camera. Faces can be entered into the database using either existing still images or the video camera. IntelliVision's License Plate Recognition has matured over many years of use. It takes into account variables like movement and high speeds that are natural to vehicle monitoring.

Computer vision across industries can make products 4X more efficient! Replacing a security guard who wrote down the vehicle number. Monitor your vehicle remotely from any computer or mobile device. Apps that are well-designed and easy to use. Wrong route detection, helmet less detection, triple riding, no-entry vehicle detection, overspeeding detection using normal ANPR cameras. Fast tag needs visual surveillance. Compare fast-tag data with visually identified vehicle number, make, and model. With more than 98% accuracy, measure the duration at the toll booth. Deep learning-based OCR has been used to read text from millions upon millions of documents. It has proven more than 99.99% accurate. Think scale, think A Eye, and its systems, which are tested at large scales! Smart city traffic surveillance, automatic number plate recognition, and text detection for handwritten characters and digits.

Flock Safety's license-plate reading cameras provide 24/7 monitoring of every home, business and neighborhood. Protect yourself against property crime, violent crimes, stolen vehicles and more. Flock Safety is the first public safety system that allows neighborhoods, businesses and law enforcement to work together in over 2000 cities to eliminate crime, protect privacy and mitigate bias. Combine devices that capture objective data with machine learning to deliver unbiased investigative lead to law enforcement. Not all video footage is useful for an investigation. Many devices fail to capture the most important information needed by law enforcement to solve crimes - a vehicle's license plate. You can get objective evidence by using devices that are designed for this purpose, since 7 out of 10 crimes are committed in vehicles.

Rekor uses Artificial Intelligence to collect, connect, and organize the world's mobility information in order to deliver revolutionary road intelligence. This is the foundation of a digitally enabled operating system for the roads. Rekor's award winning technology provides actionable solutions for countless high profile agencies and businesses, today, not in the future. Our patented technology, as one of the largest aggregators and drivers of AI and machine-learning, is focused on changing the lives of citizens and communities on a daily bases. We ensure the quality of our technology by using industry-leading data filters and security standards. Rekor's global footprint, which spans multiple geographies, allows any business or community the ability to compare, contrast and add depth to its quest for AI-driven insight.