Cargo Recognition & Damage Detection

RGB and LiDAR perception of cargo volume, barcodes and damage.

Visual Intelligence & Logistics

2022-05-30 – 2022-11-30 · Completed

Korea Railroad Research Institute (KRRI)

Project titles
  • Development of a Cargo Information Recognition Prototype (화물 정보 인식기 시제품 제작)
  • Construction of a Training Database for Deep Learning-Based Cargo Damage Recognition (딥러닝 기반의 화물 파손 인식을 위한 학습 DB 구축)

Research

Integrated RGB-camera and LiDAR perception with loading-decision interfaces and built point-cloud data for cargo and container space.

Results

Certified test results reported in 2022.

Task Result Test conditions
Position and volume perception mIoU 0.867 Ten unseen normal cargo types · 100 trials
Cargo classification and barcode 100% joint success Both functions had to succeed
Damage recognition 94% success Normal and damaged cargo groups · 100 trials