Parking Access – LPR Based is an intelligent software enabling hand-free access for authorized users in and out of parking lots. The software is integrated with License Plate Recognition (ZenLPR) which detects plates in real-time by security cameras without any human interference.
– Allows hands-free, hassle-free management of entries and/or exits.
– Provides an extra layer of safety.
– Rids of queues, cash handling, and lost tickets.
– Registration Access Table
– Can be integrated with an external list for automated control of “Access List”.
– Country-dependent and state-dependent license plate recognition for 160+ countries. The system is fully customizable.
– Recognizes any English, Arabic, Latin, Chinese, Korean, and Cyrillic characters.
– Recognizes personalized and/or special interest license plates.
– 99%+ accuracy rate on a global scale.
– Input: video stream from any VMS, or any video source (robot, drone, mobile, cameras,…).
– Output: background color, character color, character suggestions, confidence level of recognition (in %), coordinates of plate and ever character, country/state/province ID, license plate in text.
– Able to read distorted images along with image enhancement to correct badly angled images.
– Supports unlimited lists such as Watchlist, Blacklist, and custom lists.
– Processing Speed: between 20ms to 400ms.
– Vehicle speed: under 255km/h.
– View angles: front, rear.
– Beneficial for investigative use, data analysis, mapping.
These are the minimum system requirements needed to support our solutions:
CPU: CPU Intel® Core i7
RAM: 16 GB
HDD: 480GBSSD
OS: Windows 10 (64 bit), Windows Server 2012, 2016
Network: 1000 Mbps Ethernet
GPU: Nvidia Quadro P620
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License Plate Recognition (ZENLPR)
Parking Access - LPR Based
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ATM Privacy Protection
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Money Detection and Alert
Smart Privacy Blur
Forensic Analytics
Object Classifier
Perimeter Restriction
Motion Heatmap
People Counting
Pedestrian Detection
Loitering
Red Zone Detection
Personal Protective Equipment
Gauge Digitization
Automated Container Code Recognition
Facial Recognition
News Release
Case Studies
Success Stories
Privacy Policy
Cookie Policy
Terms and Conditions
Data Protection Notice
Corporate information