Challenges DRISHTI
AI-Based Detection and Classification of Protective Coating Defects in Defence Platforms as per AMPP NACE SSPC ISO Standards
Defence platforms operate in highly aggressive environments (marine, tropical, industrial), where coating performance is vital for corrosion control and asset life extension. Inspection of coating defects such as blistering, rusting, pinholes, cracking, peeling, holidays, runs, sags, and surface contamination is currently performed visually by trained inspectors in accordance with AMPP (formerly NACE/SSPC) and ISO standards. However, manual inspection suffers from:
Subjectivity and inspector-to-inspector variability Limited traceability and documentation safety concerns due to work at height/confined spaces Inefficiencies in large-area inspection Delayed defect detection, leading to costly rework or corrosion damage. The challenge is to develop an AI-based system capable of detecting, classifying, and grading coating defects using image/video data, mapped directly to recognized AMPP / NACE / SSPC / ISO coating standards, enabling objective, repeatable, and auditable inspection results.
