Behaviour Analytics
Unlock insights into human behaviour with Ai computer vision solutions, delivering advanced analytics, real-time detection, and actionable intelligence for diverse applications.
A.i Tech PEOPLE is a video analytics application designed to count people passing through virtual sensors configured on the video stream of a camera installed at a gate or entrance.
People Counting
Crowd Counting
A.i. Tech CROWD COUNTING is an application that manages cue lengths and receives real-time date to improve flow during peak operating times. Enables you to track occupancy rates in all situations in real-time, receiving alertsin situations of overcrowding. It can also monitor and analyse social distancing.
Crowd
A.i. Tech CROWD is an application that uses the most advanced vision and artificial intelligence algorithms, combined with a deep neural network capable of detecting people within the scene. It is the video analytics solution designed to meet a variety of needs that may arise in buildings, museums, restaurants, shops, shopping malls, airports, train stations or in various areas of the city.
A.i Tech TAILGATING is a video analytics app that enables the ability to monitor, count and track the number of people entering a secured area. The application verifies that one person enters per valid card read.is the video analytics app that can automatically detect the occupancy status of a parking spot, identifying whether it is free or occupied.
Tailgating
Heat
A.I. Tech HEAT is a video analytics solution designed to meet the needs of marketers. It is ideal for scenarios where you want to know how customers move around your facilities and in which areas do people most frequent.
Face Detection
A.i Tech FACE DETECT is a video analytics app that can detect faces within an area, generating an alarm if faces are (or are not) covered by a mask. The app utilizes the most advanced deep neural networks for both face detection and face analysis.
A.i. Tech BIO is the video analytics application able to detect faces and distinguish the gender, estimate the age and recognize the emotion (in a specific instant of time) of one or more persons using deep neural networks.
