Is Manual Corrosion Testing About to Become Obsolete? Sparc’s AI Says Yes
Sparc Technologies and the Australian Institute for Machine Learning are developing AI-driven software to transform protective coatings corrosion assessment, promising faster, more accurate results for a global market of testing labs.
- AI software enhances accuracy and speed of corrosion boundary detection
- Pilot project validates concept under ISO 12944 corrosion testing standards
- Target market includes approximately 850 global coatings testing labs
- Strong industry support with letters from multiple coatings companies
- Commercial rollout planned within 12 months via software licensing
A New Era for Protective Coatings Assessment
Protective coatings serve as a critical barrier against corrosion in steel infrastructure, a global challenge that costs an estimated 3.4% of world GDP annually. Despite the importance of coatings performance testing, the industry has relied on largely unchanged manual methods for over 25 years. Sparc Technologies Limited (ASX, SPN) is now partnering with the Australian Institute for Machine Learning (AIML) at Adelaide University to disrupt this status quo with AI-driven software designed to modernise corrosion assessment.
The collaboration leverages AIML’s expertise in advanced computer vision and machine learning alongside Sparc’s deep knowledge of the coatings industry. Their joint project aims to replace the labour-intensive, subjective process of manual corrosion boundary measurement with a highly accurate, consistent, and rapid AI-powered solution.
Proof of Concept and Industry Validation
A pilot project focused on ISO 12944 corrosion boundary testing has successfully demonstrated proof-of-concept, showing strong alignment between AI assessments and traditional human evaluations. This milestone confirms the software’s potential to not only improve accuracy but also dramatically reduce assessment time, from around 40 minutes per test to mere seconds.
Importantly, the software is designed to be compatible with existing lab imaging equipment, facilitating easy integration. The AI tool also generates richer datasets, enabling comprehensive statistical analysis beyond the single result typically produced by manual methods.
Industry response has been encouraging, with multiple coatings companies providing letters of support. Sparc estimates an addressable market of roughly 850 laboratories worldwide, spanning testing facilities, research houses, and end-users involved in coatings performance assessment.
Commercialisation and Future Prospects
Sparc plans to commercialise the software through co-development with industry partners and licensing agreements targeting established labs and coating manufacturers. Beta testing in third-party laboratories is anticipated within the next 12 months, marking a critical step toward global deployment.
Beyond ISO 12944, the software’s adaptable AI framework is expected to extend to other scribe-based and damage-based testing protocols, broadening its applicability and market reach.
As Sparc continues to innovate in green hydrogen and graphene-enhanced materials, this AI-driven corrosion assessment tool represents a significant leap forward in their protective coatings portfolio, with promising environmental and economic benefits.
Bottom Line?
Sparc’s AI software could redefine corrosion testing efficiency and accuracy, setting the stage for rapid industry adoption and new revenue streams.
Questions in the middle?
- How will beta testing feedback influence the final software features and deployment timeline?
- What licensing models will Sparc adopt to maximise uptake among global testing labs?
- Can the AI tool be adapted quickly to other international corrosion testing standards beyond ISO 12944?
