Smart Control AITECH

The SMART CONTROL AITECH recognition and control system, based on artificial intelligence, falls within the field of information technology and security systems.

It is designed for recognizing and analyzing the following events and objects:

Occupational health and safety violations.
Presence of smoke, fire, and explosions.
Detection of human presence and actions.
Facial identification and locating people in hazardous or restricted areas.
Recognition of vehicle license plates.
Additional system functionalities include:

Employee working hours tracking.
Monitoring of staff meals.
Control of safety and health training completion.
Tracking medical examination compliance.
SMART CONTROL AITECH ensures a comprehensive approach to safety and management, integrating advanced AI technologies for effective monitoring and process automation.

In our project, we use a proprietary computer vision system based on advanced deep learning methods:

A multi-layer neural network for real-time object detection with high accuracy, ensuring recognition of:

People and their heads
Protective helmets
Fire and smoke sources
Hazardous and restricted areas
An adaptive image scaling system that provides:

Optimal processing of input data
High recognition accuracy under various shooting conditions
Efficient use of computational resources
The developed platform integrates these technologies into a single web-based safety monitoring system, demonstrating high efficiency in real-world operating conditions.

Working solution

Currently, the SMART CONTROL AITECH system has been implemented and is being refined at two companies in Kazakhstan: the washing and steaming station of "Yertys Service" LLP and the industrial railway station of "RTI-ANPZ" LLP.

The SMART CONTROL AITECH project is aimed at minimizing risks, protecting the lives and health of individuals, and ensuring safe working conditions, making it a crucial tool for enterprises that strive for a responsible approach to safety.

SMART CONTROL AITECH measurable results:

Reduction in accidents:

Prevention of injuries and accidents by detecting safety violations.
Speed of response to threats:

Detection of events (smoke, fire, people in danger zones) within fractions of a second.
Reduction of human error:

Automation of control processes reduces the likelihood of staff mistakes.
Increased monitoring accuracy:

Event and object recognition accuracy reaches 95-99%.
Resource savings:

Optimization of costs for security, inspections, and incident investigations.
Compliance with regulations:

Complete control over the completion of safety briefings, medical exams, and workplace safety rules.
Increased productivity:

Systematization of work time tracking and minimizing downtime due to safety violations.

SMART CONTROL AITECH is an AI-powered system that integrates machine learning, deep learning, and image processing to ensure safety on industrial sites. It is designed for real-time video stream analysis to detect threats, safety violations, and other abnormal situations, including smoke, fires, explosions, the presence of people in hazardous zones, and other incidents.

Unique Features:

Real-time analysis: The system processes video streams in real-time, turning standard cameras into "smart" devices.
Broad functionality: The system's capabilities include facial recognition, license plate identification, monitoring the presence of individuals in hazardous zones, tracking mandatory training compliance, and much more.
High accuracy: Using deep learning algorithms minimizes false alarms and ensures stable performance even in challenging conditions.
Integration with corporate processes: The system automates HR functions, medical checkup tracking, training management, and regulation compliance control.
Ease of use: The intuitive interface and automatic operator notifications about potential threats simplify system operation.
This solution helps minimize risks, enhance safety levels, and optimize facility management, aligning with the goals of Industry 4.0.

Currently, the SMART CONTROL AITECH system has been developed and successfully implemented at two enterprises in Kazakhstan. Simultaneously, work continues on the development of new key modules aimed at expanding the system's functionality. Active efforts are also being made to identify new potential clients for scaling and further project development.