AVANCER GRADUATE PROGRAM Submitted By: TEAM INVINCIBLES Naman Garg PGPSM10025 Vivek Agarwal PGPSM10048
Why this field? Technology Overview Implementation & Comparison Impact & Stakeholder Validation 3-Year Execution Plan Alignment with M ichelin Core I nterests INDUSTRY CRITICAL PAIN POINTS AND THEIR IMPACT ~$600 Billion Global Medical Devices Market Value 5-7% CAGR Annual Growth Rate ~$1150Billion ~9.4 % CAGR Surgical equipment market Value Annual Growth Rate Low-Contrast Detection Manual Inspection Errors Regulatory Compliance Pressure Operational Bottlenecks Michelin's color -on- color detection suits the precision and safety needs of the medical device industry specifically in Medical Devices Quality Control and surgical tools inspection FUTURE GROWTH OPPORTUNITIES FOR MICHELIN Partnerships with Regulatory Bodies and Healthcare Institutions Integration with Robotic Surgery Systems Expansion into Medical Device & Surgical Tools Categories Non-compliance with FDA and ISO regulations leads to fines, recalls, market bans, and reputational damage . Manual inspection slows production, delaying releases. Automated solutions like Michelin’s reduce inefficiencies and bottlenecks. Existing inspection systems struggle to detect low-contrast defects on surgical tools, increasing risks of surgical complications and healthcare costs. Manual inspection in high-volume production is slow, inconsistent, and can miss up to 20% of defects. Market Size: Su rgical Tools & Medical Devices
Michelin’s Advanced Computer Vision Technology: Overview What sets it apart? Active Learning It utilizes active learning techniques to enhance accuracy with less data. Any Image, Any Quality It works effectively with images which have low quality or have imperfections. Limited Image Set It is capable of achieving accuracy without requiring huge training data. Versatile Color Detection It can detect or interpret any color-on-color combination, regardless of contrast. Comparison with traditional technologies Criteria Michelin’s Technology Traditional Machine Vision Manual Inspection Precision High Moderate Low Detection High Limited Depends on Inspector Speed Real-time analysis and feedback Fast but often requires post-processing Slow, labor-intensive Automation Fully-automated Semi-automated Entirely manual Adaptability High Moderate Low Integration with IOT Easy Limited integration Not Applicable Cost-Effectiveness (Long Term) High initial cost but effective in long-term Moderate cost High due to labor costs and inefficiency Source: bing.com mindtitan.com automate.org Why this field? Technology Overview Implementation & Comparison Impact & Stakeholder Validation 3-Year Execution Plan
KEY PLAYERS Implementation Pipeline Comparison With Existing Technologies Identify & Define Requirements Select CVT Tools & Hardware Create Data Collection & Automation Develop Image Processing Algorithm Integrate with existing devices Test & Validate Algorithms Deploy Prototypes Evaluate Performance Metrics Refine model based on feedback Production-Scale Deployment Regular monitoring & maintenance Technology Practical Implementation Scalability Cost Analysis Michelin’s Advanced Computer Vision Technology Easy integration into automated production lines High scalability across different devices and lines. Initial set up cost is medium. Long-term cost savings are high. Traditional Machine Vision System High dependency on stable lightning conditions. Requires continuous monitoring Scalability limited by need for consistent lightning. Initial set up cost is medium. Higher cost over time due to frequent calibrations. Laser-Based Inspection Systems Precise calibration is complicated. Not easily scalable across multiple products. High upfront cost. High ongoing maintenance cost due to complex laser equipment. X-Ray Inspection Systems Requires specialized staff. Best for internal inspections and not for surface inspections. Limited to specific to high-value products. Extremely high upfront cost. Ultrasonic Testing Systems Complex setup involving probes, calibration and real time analysis. Moderate scalability. Limited to specific applications. High upfront and maintenance costs. Thermal Imaging Systems Limited application in most medical devices. Limited use case for most medical devices. Medium to High upfront and maintenance costs. Why this field? Technology Overview Implementation & Comparison Impact & Stakeholder Validation 3-Year Execution Plan
Why this field? Technology Overview Implementation & Comparison Impact & Stakeholder Validation 3-Year Execution Plan TANGIBLE BENEFITS NON-TANGIBLE BENEFITS 1 2 3 4 Brand Reputation : Bolsters brand credibility through high-quality, reliable technology offerings. Innovation Leadership : Positions Michelin as a pioneering leader in cutting-edge technology. Regulatory Compliance : Strengthens relationships and alignment with strict industry regulations. Sustainability & Waste Reduction : Technology reduces waste, lowers environmental impact & supports sustainability goals. Cost Reduction Increased Production Capacity Market Expansion Operational Efficiency : Automation reduces inspection time and labor by 30-50%. Decrease in Defect Rates : Enhances detection, cutting recall and rework costs by 15-25%. Throughput Enhancement : Faster inspections boost output by 10-20%. New Market Penetration : Technology adoption could increase revenue by 5-10% annually. Validation from Key Stakeholders AIIMS Doctor Obtain Medical Stakeholders endorsement highlighting technology's precision, efficiency in diagnostics, and positive impact on surgical success rates.
1 st Year 3 rd Year 2 nd Year 1 st Quarter: Expand Deployment 2 nd Quarter: Integrate with Quality Management Systems 3 rd Quarter: Cost-Saving Analysis and Performance Benchmarking 4 th Quarter: Process Refinement and Predictive Maintenance 1 st Quarter: Scaling across Global Operations 2 nd Quarter: Advanced Analytics and AI Integration 3 rd Quarter: External Audit and Regulatory Certification 4 th Quarter: Long-Term Partnership & Innovation 1 st Quarter: Needs Assessment & Feasibility Study 2 nd Quarter: Run a Pilot Project and Pilot Testing 3 rd Quarter: Initial Technology Integration and Pilot Testing 4 th Quarter: Data Analysis & Refinement Why this field? Technology Overview Implementation & Comparison Impact & Stakeholder Validation 3-Year Execution Plan