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FAQ List

  • UniFaceX

    Q: What is Liveness function?

    A: Liveness is a function that allows the system to verify if there is a real person in front of the camera or it is a person's photo or video played on device.
  • UniFaceX

    Q: How many people can be detected on one screen and how fas…

    A: On a PC with an I7 Intel CPU and 16GB memory, it can detect up to 20 faces on a screen simultaneously, and facial features detection take around 500ms. It takes about 100ms to find a person from 100,000 database.
  • UniFaceX

    Q: Does UniFaceX operate in real time?

    A: Yes, image processing is performed in real time allowing to generate real-time data.
  • UniFaceX

    Q: Does UniFaceX require special camera?

    A: No, it does not. IP camera with 2 MP(1920(H) x 1080(V), RTSP) and higher resolution from any manufacturer will work.
  • UniFaceX

    Q: How does facial recognition work?

    A: Basic function of facial recognition is face detection (face recognition) - the trained software through video analysis detects faces from the imagery (video, image). More advanced function is face identification - after face was detected the software extracts its features and compares them with templates (face feature templates) from the database, by finding the match software identifies the person.
  • UniFaceX

    Q: What is UniFaceX?

    A: It is a AI Biometrics solution based on face recognition technology which automatically detects faces in natural environment, extracts the features and by comparing them with database identifies person. This solution enhanced with liveness can be efficiently applied to access control management, attendance management, etc.
  • UniTraffic

    Q: What is the standard hardware specification for UniTraffi…

    A: UniTraffic is a set of three software, VAS, LPDR and TMS. VAS server may be provided as an appliance (HW with required specification + video analysis and tracking SW with optimized functions), and TMS and LPDR software can be installed together on a server with optimal specification. In case of tracking criminal vehicle in real time, LPDR is usually installed on the same server with VAS. Specification can be found here: https://unisemiot.com/en/unitraffic/configuration/
  • UniTraffic

    Q: What is TMS?

    A: TMS stands for Traffic Monitoring System. It is a software to provide all gathered data from VAS and LPDR in readable form. You can check real-time traffic situation on the observed sites, view statistical data on traffic by year/month/day/hour, by vehicle category, on traffic violations by year/month/day/hour, by violation type (non-use of helmet, excessive riding, over speeding, signal, lane, reverse driving and illegal parking violations), generate violation ticket and manage equipment and…
  • UniTraffic

    Q: What countries' license plates is LPDR applicable to?

    A: Due to Deep Learning, UniTraffic is applicable to various countries’ license plate standards. Training of new country license plate standard takes around 8 weeks or 2 months. Number of images required for training is 20,000.
  • UniTraffic

    Q: What is LPDR?

    A: LPDR stands for License Plate Detection and Recognition. It is a software that captures vehicles' license plates and recognizes the numbers and letters on them.
  • UniTraffic

    Q: How many objects can be detected in one video?

    A: VAS can detect and track 100 objects within video from one CCTV channel. However, when multiple CCTVs are connected, the number of objects that can be tracked by one VAS server is up to 1200 (12 CCTV channels*100 objects).
  • UniTraffic

    Q: What kinds of traffic violations does VAS detect?

    A: UniTraffic can detect various violations such as speeding, illegal parking, non-use of helmet, illegal turn, signal, lane violation, etc.
  • UniTraffic

    Q: Which classes of traffic objects does VAS recognize?

    A: Pedestrian, sedan, van/SUV, truck, bus, motorcycle and bicycle.
  • UniTraffic

    Q: Does VAS require special additional equipment for vehicle…

    A: No, it does not. Detection is performed due to Video Analytics with Deep Learning (Intelligent Video Analytics).
  • UniTraffic

    Q: What data does VAS detect and extract from the videos?

    A: Traffic related data such as number of vehicles by class, data on various traffic violations.
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