XEOMA VMS: LATEST ARTIFICIAL INTELLIGENCE DEVELOPMENTS MAKE VIDEO SURVEILLANCE INTO AN EFFECTIVE BUSINESS OPTIMIZATION TOOL

Traditionally, video surveillance systems, commonly used nowadays in stores, homes, police vans, access control systems, have been very responsive to people's needs. From blurry and pixelated images of 90s DVRs where a criminal could have been barely identified, the CCTV has jumped to a point where machine vision can think, analyze, recognize and learn to provide effective business optimization and processes automation. From the business standpoint this means bigger profits, greater share of stable yet unsupervised work, and lesser losses, including but not limited to, staff fee.

One fine example is the Video Surveillance Systems using Xeoma software. This contemporary product utilizes the latest neural networks technologies to fully or partially take the load off security staff and provide business owners with statistics, information, video evidence, and of course alerts that will aid in boosting the business.

AI TECHNOLOGIES TO BOOST RETAIL AND HORECA
Customer feedback in today's world can make or break any business. Luckily, video surveillance systems that have been earlier been regarded solely as anti-burglar systems can help business owners with that!

For example, the fully automated Emotions Recognition feature of Xeoma Video Surveillance Software can recognize 7 facial expressions and let assigned staff know when there is a customer feeling sad or angry detected. Quickly engaging your best practices the manager can turn an unhappy customer into a happy one, thus earning a good review and a loyal client.

Visitors Counter can help get valuable statistics on the establishment's popularity during the day. This important information is gold when it comes to planning promotions or staff shifts.

We are living in dynamic times where no one likes to wait or stand in lines. Machine vision of the Xeoma's Crowd Detector will help stop losing rating and potential customers to queues. Instantly engage more staff, open more counters, send your best manager to handle the reason for the crowding when a queue is detected, and not waste time bothering about it the rest of the time.

Face Recognition that detects people's faces and compares them to a database in real-time, can help spot a returning customer (and provide them best service) or a returning persona non grata (and send a notification to security for them to stay alert and pay special attention).

More intellectual features for retail and HoReCa that Xeoma offers:
+integration of video events with cash registers inputs and outputs,
+Sound Events Detector for instant detection of glass breaking (intrusion),
+customer demographics detectors (for example, Age Recognizer) to get to know more about the business target audience,
+heat map to analyze the most popular areas in the establishment.

OBJECT RECOGNITION TO SAVE PROPERTY IN FARMING, AIRFIELDS
What do airports, fishing, crop and cattle farms have in common? They can all use the Xeoma's AI-based Object Recognizer to provide safety within their territory.

Crops farms can use the Object Recognition feature of Xeoma VMS to detect arrival of bird flocks that are causing losses not only by eating out part of it but also by making the rest of plants weaker. Connect triggers from the feature to automatic sound or water cannons or other scaring-away measures to finally stop feeding the birds at your expense.

The same goes for the fishing farming industry, where the Object Recognizer can specifically detect sea birds that prey on one part of the fish, and leave the other part stressed and thus eventually dystrophic. The fish also need the feeling of safety to grow normally.

Similarly and somewhat different are cattle farms where the real vermin are not birds – land or sea - but rather trespassing people. Vast pasture territory often cannot be guarded and monitored effectively every second which makes poaching and illegal hunting tempting for some criminals.
The Face Recognition module is able to not only detect people but also see if the person or people in sight are indeed strangers, or if they are a part of authorized staff.

Birds, however, are a major issue also in airports, where a bird hitting an air plane can damage it or even cause a crash tragedy resulting in health damages and deaths. The challenge is that there are other flying objects in the sky in an airfield's premises which shouldn't be taken for a bird – clouds, planes, sometimes even service drones. Fortunately, Xeoma's Object Recognition offers a selection of objects to react to so the system can monitor the scenery exclusively for birds – and send proper reaction or notifications as selected.

More intellectual Xeoma features for airports: drones detection that can detect specifically UAVs that like birds can cause damage.

POLICE AND MUNICIPAL USES OF NEURAL NETWORKS
Police officers' body-worn cameras and police car surveillance have been introduced a while ago and have proved to be an effective measure in making an officer's work transparent. Such footage is helpful in investigating incidents and is often used as evidence in court.

Moving beyond that, police surveillance now shifts towards using more of artificial intelligence: for example, automatic Face Recognition in city cameras can monitor city squares and street for missing people or wanted criminals, and police car cameras can scan license plates of vehicles en route and compare them to a database of stolen or missing vehicles.

With the help of Xeoma's Mask Detector city cameras can spot people that are not wearing facial masks in public places despite the safety regulations – and trigger a sound warning or even impose them a fine.

The Color Recognizer module of Xeoma VMS can be used for round-the-clock monitoring for people with higher temperature levels (fever). The module can store reports on detected events, send live notifications, and do customized reactions. In combination with the Face Recognition and penalty systems, the advances of such features can help stop the virus spreading during the epidemic or pandemic health crises.
Modules like Sound Recognizer (detection of screams, glass breaking), Crowd Detector (detection of assembly of people that can signalize of a starting riot), Emotions Detector (detection of moods like anger or fear) can help analyze people's mood and possibly detect ones that can lead to an accident.
More intellectual features for city surveillance from Xeoma VMS:
Camera-based detector of speed limit violations.
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Always keeping up with modern world's challenges, needs, and progress, video surveillance industry on the whole, and Xeoma VMS specifically, has various technological solutions to offer in almost any niche. It is a helpful, easy-to-use and affordable tool to make processes easier, safer, and more profitable.
More features are coming soon. Feature requests are welcome.

FelenaSoft Ltd.
Russia, Kaliningrad, 236006
Moskovskiy prospect, 87-25
+44(20)3807-04-87
support@felenasoft.com
Julia Skvarchinski

Established in 2004, Felenasoft persistently develops Xeoma video surveillance software. In the course of the recent 15 years of unceasing development in touch with modern tendencies Xeoma has risen to become a leader in various verticals that profit from machine vision. Xeoma VMS is used in retail, business, government and police. It can solve plenitude of different tasks, as to organize access control, launch home appliances, turn on alarm system, send fines to regulations’ violators and still it’s not the full list of opportunities! Learn more at www.xeoma.com

This release was published on openPR.