AI-Smart Retail includes all the plugins needed to monitor point of sale, in the most universal sense of the term; it includes counting people at a gate, assessing the crowd occupying an area, the time density map as well as biometric profiling of people in the area
The solution can be composed of one or more of the following plugins: AI-PEOPLE: allows monitoring visitor inflow through a gate, by counting the number of people entering and/or exiting AI-CROWD: can be used to estimate the number of people moving inside a given area of interest and to identifies situations of overcrowding AI-OCCUPANCY: allows to evaluate of the occupancy and density of one or more areas of interest and to detect over(under)-occupied areas of interest AI-HEAT: allows to identify of the areas of greatest interest (hot spots) and the less crowded areas (dead areas) by mean of the heatmap visualization AI-BIO-DEEP analyses the faces and recognizes the gender, age and emotion of the persons. AI-CROWD-DEEP allows you to estimate the number of people present in an area and to generate an alarm when the threshold is exceeded or if the social distances between people are not respected. In addition to that, the AI-RETAIL-DEEP plugin allows people to count.
IPC
Partner Product Name: AI-SMART-RETAIL
Partner Product Version: -
Hikvision Product Models and Firmware Versions: A.I.Tech plugins do not run on board of Hikvision cameras, but only on servers and embedded devices, this allows us to support all the Hikvision cameras able to provide the stream through RTSP/ONVIF.
Integration Protocol: ONVIF
Regions: Africa, Asia, Europe, Latin America, Middle East & North Africa, North America, Oceania
Languages: English, French
A.I. Tech s.r.l. is an Italy company that designs and develops cutting-edge video analytics solutions, enhanced by advanced algorithms of artificial vision and artificial intelligence. The video analytic solutions are basically apps that are able to make a camera smart: indeed, thanks to our solutions, the camera doesn't just record the video stream but is also able to understand what's happening in the scene. Born in 2010 as a spinoff company of the University of Salerno, up to today it has developed more than 20 video analytic apps, together with a dashboard for data analysis. Also, the apps send notifications when an event of interest occurs, as they integrate with different VMSs, NVRs and other devices reachable through standard protocols.