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Energy and housing and communal services
08:31, 21 May 2026
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Smart Cameras and Neural Networks: St. Petersburg Digitizes Capital Repairs

Artificial intelligence is now being used in major building renovation projects in St. Petersburg. The city’s capital repairs fund has begun rolling out digital tools at scale to monitor and optimize construction workflows.

Smart cameras are now monitoring construction sites where major residential building repairs are underway. The Regional Operator for Capital Repairs of Shared Property in Apartment Buildings is using artificial intelligence to detect various violations during construction work.

The neural network system can identify cases where workers fail to wear helmets or other protective equipment. It can also detect construction debris being stored in unauthorized locations.

Digital technologies are also being used to optimize the work of engineers supervising renovation projects. A dedicated platform generates schedules for site visits and calculates optimal travel routes between facilities. In addition, engineers can use a mobile application to complete inspection reports, submit comments on project execution and issue fines directly from the field.

The new digital framework being built by St. Petersburg’s capital repairs fund not only accelerates paperwork processing, but also improves safety standards at construction sites and enables faster detection of violations of construction regulations.

From Isolated Tools to a Unified Digital Platform

In the future, St. Petersburg could develop a unified digital platform for managing capital repair projects citywide. Neural networks may monitor both the progress and pace of construction work, allowing planners to make adjustments in real time.

In parallel, fund employees using AI-assisted tools are expected to identify violations more quickly, document them electronically and calculate delays relative to construction schedules.

St. Petersburg’s experience could eventually be replicated in other Russian regions. The initiative may also stimulate the country’s IT market by increasing demand for video analytics systems, electronic document management platforms and predictive analytics tools.

Russian technologies for monitoring construction sites could also find demand internationally, particularly in countries modernizing aging housing infrastructure.

The Evolution of Digital Construction Oversight

Digital technologies for construction and housing oversight have already been used actively in Russia for several years.

In 2021, the Moscow region introduced round-the-clock online monitoring at capital repair sites. Violations related to workplace safety, construction progress and debris removal were identified by specialists at the Capital Repairs Fund’s Project Management Center.

In St. Petersburg, 20,000 cameras already help detect various housing and utility sector violations. AI analyzes video feeds and flags problems including damaged roads, deteriorating building facades, snow piles left along roadsides, garbage accumulation and other infrastructure issues.

Responding to Urban Infrastructure Challenges

The introduction of smart technologies for supervising capital repair projects in St. Petersburg reflects a broader transition from traditional management models toward a digital operating framework across the entire renovation system. For the city itself, this transition also means a more careful approach to preserving historical heritage sites, where renovation work is especially complex, while improving transparency in contractor operations.

Over the next several years, AI-powered video analytics in the capital repairs sector could become a mandatory monitoring standard. For Russia’s IT industry, that transition may create another growth driver for both domestic software development and locally produced hardware systems.

Meanwhile, experts note that the sector still faces serious challenges. The industry must develop more affordable technological solutions, train qualified specialists and improve the reliability of the algorithms themselves.

In practice, elements of artificial intelligence are already being used to monitor construction projects. Neural networks process video streams from cameras, count workers, track the types of work being performed and evaluate how efficiently equipment is being used. When deviations from the schedule are detected, the system automatically generates notifications about potential risks and identifies facilities that require increased attention from supervisory authorities
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