Cloud Intelligence Video Analytics software has been designed to operate with both indoor and outdoor cameras, detecting a wide range of surveillance situations involving people, vehicles and other objects. A comprehensive range of detection filters provide the means to discriminate the object behaviours appropriate to each surveillance scene, meaning that classification is always accurate. Video analytics can transform standard CCTV systems into intelligent and effective detection and alert systems. CCTV technology is now capable of recognising faces of people, vehicles, animals and bags automatically.Integrated with CCTV video analytics, both facial and general recognition software systems are capable of counting, measuring speed and monitoring direction. For example, recognition systems can monitor the duration of time that people are present in a specific area or how long an unattended bag has been left. Some video analytics solutions are even capable of understanding colour.
Accurately counting traffic that enters your store or facility empowers organizations to make smarter business decisions. Cloud Intelligence offers most advanced customer tracking solutions that will help any facility monitor pedestrian traffic. Our solutions provide actionable information that help organizations increase profitability and improve operational efficiency. Easily determine how much sales revenue is being generated in relation to traffic, how much staff is needed, and analyze if promotional activities are successful. With this data, businesses can make more informed decisions about marketing, facilities management, staffing, security, and more.
The video analysis function allows detecting and signalling automatically, in real time, the intrusion within virtual areas or crossing of vertical gates by subjects of interest.
Video Surveillance is more effective and efficient for safety and security.
It increases the protection for infrastructure and facilities. Also it optimises personnel, services and facilities.
Our analytics software is configurable to unlimited virtual zones, of any shape and size.
Also it detects and tracks unlimited subjects of interest in the area of interest.
LPR - Licence Plate Recognition
License Plate Recognition solution provides a number of unprecedented advantages for users, including the ability to accurately capture license plate information at 220 km/h and in all kinds of weather conditions, including light fog, rain, and snow.
The advanced algorithms involved in the technology result in the sort of pinpoint accuracy that distinguish letters from numbers. CIloud Intelligence LPR integrates easily with third party parking management or smart roadway systems, as well as legacy security equipment and external databases. It is a highly effective tool for vehicle registration tasks, control of traffic, and the access control of vehicles.
POS (Point of Sale) Integration
The fundamental function of the Point of Sale integration system is to overlay live real time transaction data over a video channel. All transaction data is then stored on the system for powerful searching and reporting (e.g. Product Sales Search, Void Transaction Search).
POS integration is a crucial component to a retail business’s loss prevention. Sometimes an employee may make an honest mistake and forget to look at the bottom of the basket or ring up an item on which the customer has switched barcodes. Having video is a great training tool. And of course we have all heard the famous “I gave you a $20 and you only gave me change for a $10”. Well now we can watch the video in a few seconds instead of balancing the till and expecting the customer to take your word.
Intelligent network cameras can also hold dwell-time analytics software to help analyse which aisles and displays are working best to attract and retain shoppers. Cameras can also analyse dwell-time alongside images of customers actually picking up products and putting them in their baskets.
Again it is valuable to cross-reference dwell-time data with customer action – normally resulting in purchase. However if lots of customers are stopping to look at an offer or display and then walking away this is a fair indication that something in the offer on display does not work for them.
Managers can use this business intelligence to investigate further and make improvements.
CCTV Smoke Detection is based on sophisticated computer analysis of the video image seen by the CCTV camera (sensor). Using advanced image-processing technology and extensive detection algorithms the VSD can automatically identify the distinct characteristics of smoke patterns.
The fire detection industry has an abundance of known smoke signatures and all of these are built into the system to give an accurate decision on whether smoke is present.
The CCTV Smoke Detection system detects smoke rapidly by looking for small areas of change within the image at the digitisation stage and only passing these pixel changes to the main processor for further filtering.