Описание проекта
SamurEYE is an intelligent system based on artificial intelligence and computer vision that provides security, automation and real-time analysis by detecting various events, incidents, etc. by cameras. The project is designed to work in three key sectors: construction sites, manufacturing plants and smart cities.
Технологии, использованные в проекте:
AI-algorithms
Computer Vision (Computer vision)
Image segmentation algorithms for detailed scene analysis
Object Detection
YOLO Algorithm (You Only Look Once) for fast and precise detection of the objects in images.
Tools and platforms:
TensorFlow and PyTorch
OpenCV
Стадия проекта
Pilot project
Рынки и сферы применения
Construction, industry, transportation and road, HORECA, smart cities, retail, educational and medical institutions, public security
Ключевые достижения
Completed developed prototype system successfully tested at pilot sites.
Tests were conducted in two construction companies and one restaurant.
A preliminary agreement has been reached with 35 establishments in Astana.
Измеримые результаты
Resource savings: Automating controls will reduce inspection and verification costs by 20-30%.
Improved safety: It is planned to reduce the number of incidents at construction sites by 40%.
Increased efficiency: Optimization of production processes and personnel work will increase productivity by 15-20%.
Уникальность проекта
Safety control at construction sites.
Detection of product defects on production lines.
Monitoring of urban infrastructure and incident prevention in smart cities.
Unlike competitors, SamurEYE offers a flexible payment model, including monthly subscription and one-time payment for equipment.
The system operates in real time with minimal latency, enabling instant response to incidents.
Планы на будущее
Q3 2025: Scale up to 100 manufacturing companies
2026: Launch in all cities of Kazakhstan
2027: Enter the international market (CIS)
2027: Integration with IoT devices and partnerships with corporations
Партнеры или инвесторы
BI Group, Espresso Day