Automate security, Maximise efficiency
Automatic number plate recognition (ANPR)
ANPR technology captures the number plates of vehicles to automate access control and make monitoring security more efficient.
What is ANPR ?
ANPR, allowed for automation in the process of recognising number plates. Before this it it was challenging to investigate and track security breaches. Furthermore access control was manual. This reduced business efficiency and caused gaps in security.
ANPR captures the number plates of vehicles accurately by utilising OCR (optical character recognition), converting the image into machine encoded text.
Now CCTV systems can capture invaluable data to ensure public and business safety is the utmost priority.
How Does ANPR maximise efficiency?
Superior Recognition Rate
Maximise efficiency and avoid delays with a 98% recognition rate in just 100 milliseconds. You will be able to accurately identify vehicles that enter in and out of your premises.
Optical Character Recognition (OCR)
Accurately store and identify number plates with optical character recognition. OCR captures the image of the number plate, reads the alphanumeric characters & converts it precisely into machine encoded text.
Deep Learning Models
ANPR technology obtains big data surrounding vehicles & number plates. By being fed this data, ANPR technology is able to differentiate between number plates, providing meaningful security insights.
Where can ANPR be used?
ANPR has numerous application types that allow CCTV solutions to be tailored to your business needs.
Car Parks
Become paperless, with ANPR technology that will automate the process of barrier control and managing vehicle access in a carpark.
Road Safety
Monitor and enforce road safety by identifying vehicles that commit driving offenses such as speeding and negligence.
Office/Business Building
Restrict access to blacklisted vehicles using ANPR. Prohibit entrance to vehicles that you do not want entering your premises.
Find out how ANPR can be tailored to meet your security needs