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Client
Defense Company
Project Background
Mission:
AI-based defect identification on a barrel system
Challenge:
Detecting defects on barrels with complex surfaces is challenging due to varying defect types, lighting conditions, and the need for real-time accuracy in Oiled and glass finished barrel
Solution:
AI-powered vision systems utilize advanced image processing and machine learning models to identify and classify defects with precision through robotics crawler system
Results
Improved quality efficiency with real-time defect detection, reduced time through early identification of faulty barrels, and enhanced quality, ensuring customer satisfaction and cost savings for manufacturers
Client
Infrastructure Company
Project Background
Mission:
GSM-based IoT hardware system for billing of equipment or vehicle charging involves integrating sensors
Challenge:
Ensuring accurate billing, maintaining connectivity, and high temperature securing data, and scaling for multiple users.
Solution:
Use precise sensors and hardware, SIM GSM modules, encrypted communication, and cloud-based platforms.
Results
Reliable, uninterrupted, secure, and scalable billing system for IoT-based equipment and vehicle charging
Client
Ortho Care Manufacturer
Project Background
Mission:
Develop a consolidated platform for monitoring Overall Equipment Effectiveness (OEE) of various machine types used by Orthotics Company , including PLC and Juki machines
Challenge:
The current challenge is the absence of historical data. However, the system can store new data and make predictions based on it.
Solution:
Machine or production line utilization, identify downtime, inefficiencies, and areas for improvement,
Minimize waste in terms of time, materials, and energy,
Tracks production quality by measuring the ratio of good products to total products produce
Results
Robust platform for monitoring and improving the OEE of various machines. By utilizing multiple communication protocols and offering comprehensive dashboard features, the system addresses the need for real-time monitoring, efficiency reporting, and predictive maintenance