Data Annotation

Based on data collected from various industrial environments such as transportation, logistics centers, manufacturing sites, smart cities, and MICE, we offer an All-in-One annotation pipeline that integrates the entire process from data collection to preprocessing, labeling, verification, and final dataset creation.
By precisely constructing high-quality datasets tailored to industry-specific objects like people, passenger cars, buses, trucks, forklifts, heavy equipment, and motorcycles, we effectively support a customized data infrastructure optimized for AI model training.

Object Recognition

3D LiDAR-based object recognition technology accurately detects various objects such as people, vehicles, bicycles, and heavy equipment in three-dimensional space and collects real-time information on the object's location, movement path, density, and count. By generating unique IDs based on object feature points and continuously tracking key attributes such as speed, height, and size, it maintains high recognition accuracy even in diverse on-site environments.
This technology is utilized as an optimized object recognition solution for various fields such as logistics centers, crowded areas, industrial sites, and traffic management.

Statistics

The AI safety management solution supports precise understanding of risk patterns occurring on site by collecting and analyzing time-based and interval-based statistical data using object recognition-based events. Users can intuitively identify risk factors through statistical analysis at the zone unit set by users and dashboard-based visualization functions, and systematic safety history management and strategy formulation are possible with automatic report generation utilizing cumulative data.