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Project iBabui uses machine learning algorithms to predict when machines may require maintenance. By identifying potential issues before they occur, businesses can avoid costly downtime and reduce the risk of equipment failure.
Project iBabui's cloud-based platform provides flexibility and convenience, allowing businesses to monitor operations remotely, reducing travel expenses and increasing operational efficiency.
Real-time monitoring and data analytics provided by Project iBabui can lead to significant cost savings by reducing downtime, optimizing production processes, and improving resource utilization, resulting in an estimated 10% to 20% increase in production efficiency.
By monitoring various parameters in real-time, Project iBabui can help reduce waste and improve quality control, leading to an estimated 5% to 10% reduction in product defects and an increase in customer satisfaction.
By identifying and addressing issues before they escalate, Project iBabui can help businesses reduce maintenance costs, avoid costly equipment failures, and optimize inventory management, resulting in estimated cost savings of up to 15%.
Project iBabui's cloud-based platform provides flexibility and convenience, allowing businesses to monitor operations remotely, reducing travel expenses and increasing operational efficiency.
Project iBabui provides valuable insights into various aspects of factory operations, enabling businesses to make data-driven decisions. This leads to improved efficiency and profitability, with an estimated return on investment of up to 25%.
Project iBabui predicts when machines may require maintenance, helping businesses avoid costly downtime and reduce the risk of equipment failure. This results in estimated cost savings of up to 10%.
Total Machines
Projects
Efficiency Increased
Rated 5 Star
Frequently Asked Questions
Project iBabui is consists of: 01. Sensors (RPM counter for Knitting/Sewing Machine, Temperature Sensor for Boilers): Which is connected (proximity) to the machine. 02. Embedded IoT System: Which is directly connected to the sensors and wirelessly communicate with controller to send data realtime 03. Controller: is the primemover of the data, it can controll upto 255 machines wirelessly and send data to server in realtime 04. Server/Server Cluster: Receive data from controller and make available that data for cloud accessible and analytics
All devices comes with one year replacement guarantee and two years of service warranty.
1/5,Mizan Tower, Kallyanpur, Dhaka
Bangladesh
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