Development/Research Completed
Development of image acquisition methods and devices
- Few-Shot Learning Based on EDANet Learning Data Augmentation
- Development of Learning Data Construction Technology for Construction Sites
Development of Deep Learning-Based Risk Identification Algorithm
- Semi-Supervised Learning to Minimize Labeling Operations
Development of Visual Intelligence-Based Safety Management System
- An Analysis of Accident Cases by Analyzing Risk Factors in the Field
- Development of image recognition target derivation process
Development/Research Plan
Vision Intelligence
Stereo image and deep learning algorithm based personnel positioning
- Replace object recognition and tracking algorithms with deep learning-based algorithms
- Simplify the matching process between objects recognized in each of the two images
- Comparative review of using 2 and 3 cameras
Development of Data Learning Algorithms and Service Applications for Construction Sites
Development of Progressive Work and Risk Inference Technology through Object Identification
If objects such as green safety helmets, workers, AL-BEAM, AL-FORM, and anti-condensation insulation are determined among the object information identified in the image, the installation of the alform slab can be inferred. If the image determines the red safety helmet, operator, sling belt, rebar, and slab, it can be inferred that rebar lifting work is in progress. Advanced object discrimination techniques enable detailed tasks to be inferred. Object information and spatial information included in the work content are subdivided to infer various work situations and analyze the types of accidents that may occur.