BISM24: Automating Defect Detection for Blind Textile Workers
Program:
Mechanical Engineering
Project Description:
BISM24 created real-time automated defect detection for blind textile workers at the Blind Industries & Services of Maryland (BISM) Salisbury MD facility. The system removes the reliance on sighted inspectors to find errors in the textiles before they reach the sewing stage at the factory. A neural network, trained by the team on a matrix of defects and material types, detects issues within 23milliseconds and reports to blind operators or remote operators via web interface. The device is currently in place and operating in the factory. This project is a fantastic example of advanced image processing and neural networks as assistive technology for the disabled community.
Team Members
-
[foreach 357]
[if 397 not_equal=””][/if 397][395]
[/foreach 357]
Project Mentors, Sponsors, and Partners
Course Faculty
-
[foreach 429]
[if 433 not_equal=””][/if 433][431]
[/foreach 429]
Project Links
Additional Project Information
Project Photo
Project Photo Caption:
The BISM24 system alerts blind operators to defects in fabric on a spreading machine at the BISM factory in Salisbury Maryland.