1. University name
Non-Profit Joint-Stock Company “D. Serikbayev East Kazakhstan Technical University” (D. Serikbayev EKTU).
2. Project title
Smart Safety Monitor — an intelligent industrial safety monitoring system powered by artificial intelligence.
Project focus: specialized industry-specific AI solutions. Category: AI solution for industrial safety. Current development stage: testing.
3. Description
Smart Safety Monitor is an intelligent platform designed to improve the safety and efficiency of production processes at enterprises in the mining, metallurgical, and related industries.
The system uses computer vision, machine learning, and deep neural network technologies to automatically analyze photo, video, and audio data. The platform can recognize people and objects, identify faces, monitor the use of personal protective equipment (PPE), and detect potentially hazardous situations and violations of safety requirements.
Based on the analysis results, the system records detected events and generates statistics, reports, and notifications for operators. This makes it possible to automate industrial safety monitoring, reduce the impact of human factors, and improve the speed of response to potential risks.
A technical prototype has already been developed and tested as part of the project. The computer vision algorithms have confirmed the technical feasibility of the solution and demonstrated high accuracy under laboratory conditions. The next stage is large-scale testing at real production sites and adaptation of the system to the specific requirements of individual enterprises.
The key advantage of Smart Safety Monitor is the combination of a functional technical prototype, high accuracy in detecting violations, and the ability to integrate with enterprises’ existing video surveillance systems, which can reduce the cost and time required to implement the solution.
4. Product link
No separate public link is provided.
5. Developers / authors / contacts Project manager:
Tolegenov Mukhamed Daurenuly — Master’s student.
Contact number / WhatsApp: +7 707 495 30 09.
6. Presentation and available materials Project presentation:
Available project materials and results:
- technical prototype of the AI system;
- object recognition modules;
- facial recognition and identification technologies;
- monitoring the availability and use of PPE;
- image and video analysis;
- semantic search and analysis of video data;
- automatic speech recognition;
- generation of statistics and incident logging;
- decision-support tools;
- Streamlit-based web interface;
- GPU acceleration and integration with existing video surveillance systems.
Expected impact of implementation: reduction in the number of industrial incidents and related costs, improved enterprise efficiency, development of employee competencies, and creation of a regional ecosystem for the adoption of artificial intelligence technologies.
Date of last changes:14.09.2026
