Digital Technologies – AI & Vision-Based Projects

What is TANSAM AI?

TANSAM AI (Tamil Nadu Smart and Advanced Manufacturing Centre), powered by Siemens, is Tamil Nadu’s hub for Artificial Intelligence in Industry 4.0. It provides AI-driven training, solutions, and innovation labs to enable smarter manufacturing and digital transformation across Chennai, Coimbatore, Madurai, and Salem.

Why AI Matters for Tamil Nadu

• • Government-backed initiative trusted by industries and institutions
• • AI-powered smart factory solutions for predictive maintenance and quality control
• • Supporting Chennai automotive, Coimbatore textile, Madurai academic, and Salem industrial clusters
• • Future-ready AI careers with global demand
• • Proven success with thousands of learners and institutions onboarded

AI Training & Solutions

Machine Learning & Predictive Analytics

Data-driven decision-making for smart manufacturing.

Computer Vision

Automated quality inspection using AI.

Generative AI

AI-powered product and design innovation.

AI-Driven Cybersecurity

Securing smart factories and systems.

Natural Language Processing

Workflow automation and intelligent communication.

AI in EV Technology

Optimizing electric mobility solutions.

Benefits of TANSAM AI

• ✔ Hands-on labs with Siemens Xcelerator AI tools
• ✔ Faculty training programs for AI upskilling
• ✔ Internships and hackathons aligned with AI modules
• ✔ Industry-recognized certifications
• ✔ AI consulting for MSMEs and enterprises

Explore AI Modules

Client: Roadways

Problem Statement / Project Scope:

• Automate traffic classification & support road expansion planning.
• Address limitations of manual vehicle counting & need for multi-vehicle classification accuracy.
• AI-based system to automatically detect & classify various vehicle types using video analytics and sensor integration.

Solution Highlights:

• High accuracy in real-time vehicle classification.
• Seamless analysis of traffic data.
• Improved traffic monitoring.

Client: Directorate of Public Health and Preventive Medicine

Problem Statement / Project Scope:

• Mosquito breeding site identification & chlorine usage data collection is manual & decentralized.
• No real-time geospatial monitoring or centralized data; limited field visibility & paper-based records.

Solution Highlights:

• Cost-effective mobile platform integrating mosquito breeding & chlorine usage monitoring.
• Implemented geotagging for accurate field data acquisition.
• Responsive UX & interactive map-based selection for real-time data visibility.
• Streamlined workflows, minimized manual app-switching, improved efficiency.

Client: Department of Public Health

Problem Statement / Project Scope:

• Monitor drinking water quality based on chlorine concentration (ppm).
• Detect over-chlorination and under-chlorination to ensure safe drinking water standards.
• Enable digital data collection of chlorine values with real-time dashboard monitoring.

Solution Highlights:

• AI model predicts chlorine ppm values from images captured via mobile app.
• Real-time detection & classification of chlorine levels from field inputs.
• Automatic alerts for ppm exceeding 2, enhancing public health safety.

Client: Leather Industry

Problem Statement / Project Scope:

• Automate quality inspection of shoes by measuring physical dimensions accurately.
• Detect dimensional deviations to ensure consistent size, shape, and fit.
• Utilize digital imaging and measurement tools to compare shoe dimensions against design specs.

Solution Highlights:

• Automated detection & classification of dimensional deviations without manual tools.
• Improved quality inspection, reduced human error, accelerated production checks.
• Scalable solution enhancing manufacturing precision and rapid data-driven quality control.