Advancing machine learning for industrial automation at Archronix

Dushyant Puri, Anasuya Bhima and David Espinosa Carrillo, SMART Centre

About Archronix

Archronix develops industrial automation and control technologies designed to support advanced manufacturing and intelligent system applications. The company is focused on expanding the capabilities of its hardware platforms through emerging technologies such as machine learning and computer vision.

The challenge

As machine learning becomes increasingly important in industrial and automotive applications, organizations need flexible platforms capable of processing and analyzing visual data efficiently. Archronix sought to evaluate how advanced image-recognition capabilities could be integrated into its existing control hardware.

Approach

• Collaborated with Conestoga’s SMART Centre to investigate machine-learning integration
• Evaluated hardware and software approaches for image processing and acceleration
• Developed a prototype machine-learning application focused on visual recognition
• Assessed compatibility between the control platform and machine-learning frameworks
• Created a proof of concept to demonstrate future industrial automation capabilities

Results

• Developed a prototype machine-learning algorithm for image-recognition applications
• Demonstrated the feasibility of integrating machine-learning capabilities into an industrial control platform
• Evaluated hardware-acceleration options to support improved processing performance
• Established a flexible foundation for future machine-learning development
• Generated proof-of-concept results to guide future automotive and industrial applications

Why it matters

• Demonstrates the potential of machine learning in industrial automation environments
• Supports the development of smarter and more adaptable control systems
• Creates opportunities for advanced image-recognition applications
• Strengthens innovation in manufacturing and automotive technologies
• Provides a foundation for future research, product development and commercialization

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We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC).