PUBLIC SECURITY
- Suspicious events detection
- Line control
- Zone control
- Perimeter control
- Face recognition for security
RETAIL SOLUTIONS
- Visitors counting
- Sociodemographic stats
- Shopping zones analysis
- Queues monitoring
- Personified advertising
INDUSTRY AND CONSTRUCTION
- PPE compliance detection
- Hazardous zone control
- Fall & immobility detection
- Unsafe action recognition
10ⁿ Tech’s proprietary face recognition engine detects, captures, and recognizes multiple faces per second and can be effectively used by law enforcement officers in crowded areas and at critical infrastructure facilities (transport hubs, energy/water/heating supply facilities), thus ensuring proper security on sites where individuals are to be identified or registered, including:
- Entrance areas of transportation stations, airports, subways, sport centers etc.
- Border customs control
- Video surveillance, verification and access control
Use case: Public Security
Customer: Government Customer Services Centre
- AI face recognition surveillance system covering the whole region;
- 21 cameras installed at regional checkpoints to recognize wanted individuals;
- 98% of people identified – the highest possible efficiency on the market;
- All departments have access to the system;
- The system deployed on 12 sites (airports, ports, railway stations, etc.);
- Anti-terrorism control.
HSE automation with AI incident detection
On industrial and construction sites, AI video analytics shifts safety from post-incident backtracking to real-time prevention. The platform reads live camera feeds, flags unsafe conditions the moment they occur, and logs every event for the HSE team.
- PPE compliance – detects missing or improperly worn helmets, gloves, overalls and harnesses (90%+ accuracy);
- Hazardous zone intrusion – alerts the instant a worker enters a restricted or dangerous geozone;
- Fall and immobility detection – flags a person who has fallen or stayed motionless too long;
- Unsafe action recognition – neural networks judge whether a worker’s actions are dangerous;
- Presence by face recognition – registers who is in which zone, for attendance and access control.
From detection to response
When the system detects a violation it can show it on the dispatcher’s screen, alert the worker through wearable devices, and generate an incident report with still images for the HSE manager. Operators train new detectors – custom workwear, site-specific actions – directly from the interface, with no programming.
Example deployment: a government entity in the UAE
- Coverage across two large treatment facilities;
- 100 cameras for PPE, zone and action detection, plus 20 for facial recognition;
- Real-time flagging of missing PPE, hazardous-zone entry, falls and unsafe actions;
- Automated alerts and image-stamped incident reports to the HSE team.
Video analytics solutions help retailers run efficient marketing campaigns, improve efficiency of shopping zones, and deliver better customer experience.
- Count unique visitors and identify your loyal customers once they enter the store;
- Assess the efficiency of your marketing campaigns through online sociodemographic analysis and visitor counting;
- Analyze shopping zones to use your space more effectively;
- Monitor queues to react on peak times promptly and optimize queue time;
- Deliver personalized advertising right at the point of sale.
Use case: Retail
Customer: Worldwide Retail Store
- Employee on-work time registration;
- Detection of suspicious persons entering premises (black listing with security alerts);
- Control over POS terminals;
- Reports and forecasts for peak times, number of people entering/leaving the store, and soon;
- System is rolled out in two stores now.
By the end of 2019, it will be rolled out in 80 stores across the country.
