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About
NtechCity is a computer vision-driven video analytics platform designed to assist state and municipal services in monitoring and inspecting the status of urban infrastructure.
Count objects
Assess the urban transit passenger traffic, flag unauthorized gatherings, or detect a pack of stray dogs
Monitor waste container sites
Monitor waste removal and the condition of waste container sites, identify illegal parking or snow piles in the site zone, and record bulk waste dumping from vehicles
Enable custom scenarios
Detect smoking, breaches of restricted area perimeters, unattended items, people lying down, animals, smoke, and fire
Object detection
The system identifies specified objects within the video stream
1.
Data transmission
The processed data is sent to the relevant functional modules
3.
The system generates alerts and reports for prompt response and decisionmaking
Alerts and reports
4.
The detected objects are analyzed and classified according to predefined parameters
Analysis and classification
2.
How it works
High-accuracy algorithms
Excellent recognition accuracy scores as confirmed by the global professional community
Russian product
Included in the Russian unified software register
Data security
Segmented access to sensitive data
Modest hardware requirements
Lower server hardware requirements than most competitors'
The video analytics core supports an unlimited number of sources (cameras, VMSs, etc.)
Scalability
Quickly adapts to customer needs and supports the addition of new modules
Yes. The platform is easy to scale: it can be deployed in a megacity or in a city with limited infrastructure. The system provides a noticeable benefit even with a limited number of cameras.
The solution is suitable for city administrations, utilities, transportation and environmental agencies, emergency services, and urban video surveillance operators.
The system helps identify potential risks before they materialize: crowds, suspicious movements, violations of landscaping rules, and much more. This allows for not just recording the event, but also preventing incidents.