Nov21741 Best Video Analytics Platform 2021: FINDFACE MULTI Founded in 2015, NtechLab provides multi-object video analytics which processes video and recognises faces, vehicles and actions. An intelligent criteria-based face search can detect, filmand track a person of interest in a split second, with the highest accuracy. Vehicle recognition identifies the type of body, colour, manufacturer, and model of a car – It works even if the license plate or a part of the car aren’t visible. More than 200,000 cameras in 23 countries globally are connected to the company’s software. NtechLab’s flagship product is FindFace Multi, a ground-breaking tool that accurately detects faces and silhouettes of people, as well as cars in real-time video streams. Using an intelligent criteria-based facial search, the system can detect and track persons of interest with high levels of accuracy, even when their face is partially covered with a medical mask or clothes. Silhouette recognition enables the identification of people by the colour of their clothes and accessories. Western Railway, one of the busiest railway networks in India, has commissioned video cameras featuring NtechLab’s real-time face recognition technology. The system has been installed at 30 railway stations across the western Indian states of Gujarat and Maharashtra, including the city of Mumbai, and is used on the busiest section of the network. NtechLab algorithms are designed to help organisations and businesses make better decisions. The technology empowers governments and security services to act with greater speed and confidence, and provides commercial companies with richer audience analytics. As an example, there has been a major agreement between FESCO Transport Group and NtechLab which will create a landmark ‘smart’ shipping port at the Vladivostok Commercial Sea Port in Russia. NtechLab is providing a unified video analytics system to monitor labour and transport safety, based on a common biometric database created by the sea port. The technology delivers remote systems access and the ability to monitor the port’s operational processes in real time, as well as to manage access control to the enterprises with far greater efficiency by using biometrics. The platform will also be able to identify vehicles, and to read container numbers during loading and unloading to compare and confirm the accuracy of shipping and cargo information. NtechLab has also been chosen as the technology partner of the Russian pavilion at Expo 2020, which is running for six months until March 2022 in Dubai. NtechLab’s platform will allow Russian pavilion to collect analytics on visitor numbers, including segmentation based on gender and age, as well as calculating the average length of time people visit and whether they are new or regular visitors. To ensure effective crowd management and adherence to COVID-19 guidelines, the system will also notify employees when an excessively large number of people gather in one area. Additionally, it will provide information about queues in a specific area, such as what time they formed and how many people are in the queue. Artem Kukharenko is the man behind NtechLab technology. He has specialised in neural networks since his time studying at Moscow State University where he authored several scientific works on the subject. In 2015, he developed a smartphone app that could identify a dog’s breed from a single photo: Magic Dog. Through a friend, he was introduced to businessman and passionate tech investor, Alexander Kabakov, who has also funded popular Russian online service, YouDo, enabling users to find help in solving everyday tasks and household chores. Kabakov suggested a pivotal change in the use of technology behind Magic Dog: creating an algorithm that could instead recognise human faces. Kabakov and his partners became first- round investors in NtechLab, and six months later, the company’s product had beaten Google in the MegaFace Challenge, which pits facial recognition technologies head-to-head, organised by the University of Washington. NtechLab Communications Director, Alexander Tomas said, “When creating the company, we chose between what we were used to and what we dreamed of – making cities better and safer. We observe that our customers have begun to look at video analytics functions more broadly, that is, video analytics systems are no longer solely a security tool. This concept of a ‘smart city’ with a comfortable living environment for everyone, including people with disability, children, mothers with strollers, is becoming technically feasible, and one of the important elements in these concepts – intelligent video analytics systems – now help not only in timely response, but also in making long-term strategic decisions.” He continued, “As such tasks, I can cite the timely provision of medical care to citizens. Our system is able to recognise a person falling on the street and send a signal to rescue services. We can see if a crossing is very often used by children and there is a threat to their lives due to the high traffic flow. Therefore, you need to add a speed bump, additional signs, or somehow influence the situation before the tragedy occurs.” Company: NtechLab Contact: Alexander Tomas Email:
[email protected] Website: www.ntechlab.com