AI for
Manufacturing
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AI-ConnectX Services: Investor Liaison, Market Accelerator, Commercial Modeling
Introduction:
Manufacturers encounter various challenges in maintaining efficient operations, with conventional methods often leading to inefficiencies and bottlenecks. The diverse and complex nature of manufacturing processes necessitates tailored solutions that traditional approaches frequently fail to provide.
In the age of Industry 4.0, manufacturing processes are experiencing significant transformation driven by advanced technologies. AI-ConnectX collaborates with AI startups that offer innovative solutions to address these challenges. By providing real-time monitoring, predictive failure detection, and quality control measures, these solutions ensure smooth and efficient operations, revolutionizing the manufacturing landscape.
Current Use Cases:
1. Production Monitoring and QA
A visual inspection AI system to ensure accurate sealant application, enhancing product performance by addressing issues related to noise, vibrations, and harshness.
Key features included:
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Sealant Application Monitoring: Inspecting sealant application for without any discontinuity and in the correct amount (diameter).
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Real-time Alarms: Alerting operators to any application errors or discontinuities.
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Robotic Arm Protection: Avoiding damage to the robotic arm nozzles caused by sealant ooze outs after baking.
Figure 1. Sealant Profile
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Figure 2. Robot Arm Nozzle inspection
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Figure 3. Label Verification
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Figure 4. Label Smudging issues
2. Label Accuracy Monitoring
A robust label inspection AI system to ensure label presence, accuracy, and legibility, optimizing resource use, reducing waste, preventing mislabeling and damage, and enhancing customer satisfaction with clear, intact labels that build brand trust.
Key features included:
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Label Presence and Accuracy: Checking for the presence and correct application of front and back labels.
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Batch Number and Expiration Date Verification: Ensuring accurate and legible printing using OCR and OCD techniques.
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Smudging Prevention: Addressing print smudging concerns to maintain label clarity.
3. Predictive Failure Detection
An advanced AI-driven monitoring to ensure accurate filling and sealing of sachets, preventing under-filling, over-filling, and sealing defects. This proactive approach optimizes resource utilization, reduces waste, enhances product quality, and increases operational efficiency by minimizing downtime and product loss.
Key features included:
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Vertical and Horizontal Sealing Monitoring: Continuous real-time monitoring of both vertical and horizontal sealing processes to ensure correct sachet sealing.
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Under-Filling Detection: Identifying potential under-filling issues to prevent leakage of shampoo, ensuring product integrity and safety.
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Over-Filling Identification: Detecting over-filling scenarios to avoid sachet burning during the sealing process, thereby maintaining product quality and preventing safety hazards.
Figure 5. Vertical & Horizontal Sealing Verification
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Figure 6. Under & Overfilling of Sachet
Figure 7. Truck loading & unloading Bay monitoring
Figure 8. Real-time Dashboard
4. Production and Warehouse Efficiency Monitoring
An integrated AI system that combines production monitoring with warehouse efficiency to optimize operations comprehensively, streamlining both production and warehouse activities and enhancing efficiency and safety across the board.
Key features included:
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Worker and Trolley Monitoring: Real-time detection and classification of workers by attire, accurate headcounts, and trolley status (empty or filled).
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Production Insights: Dashboard monitoring of production efficiency, idle time, worker distribution, unsafe events, and batch details such as recipe information and duration.
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Warehouse Management: Automated gate-in/out detection, vehicle type identification, dock-in/out tracking, cycle type, classification, loading/ unloading start times, package counting, and number plate recognition for enhanced traceability and security.
Collateral Developed
