Production Monitoring System

About

Production managers need real-time information about all events on the production floor to timely address any emerging manufacturing problems like production line stoppage, unplanned downtime, quality defects in the manufactured products, inadequate efficiency of processes, low productivity, and many others. However, with old equipment, it’s very difficult to get any data out of production lines other than parts produced per hour.

Therefore, there’s an urgent need for industrial monitoring systems that without any modification of the existing equipment would keep track of production areas 24/7 and provide production managers with real-time data on the manufacturing process.

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Challenge

Production managers need real-time information about all events on the production floor to timely address any emerging manufacturing problems like production line stoppage, unplanned downtime, quality defects in the manufactured products, inadequate efficiency of processes, low productivity, and many others. However, with old equipment, it’s very difficult to get any data out of production lines other than parts produced per hour.
Therefore, there’s an urgent need for industrial monitoring systems that without any modification of the existing equipment would keep track of production areas 24/7 and provide production managers with real-time data on the manufacturing process.

Solution

In response to our Customer’s demand, we have developed a custom cloud-based Production Monitoring System powered by computer vision and machine learning. Through cameras, IoT sensors, and devices, the system monitors production areas in real time and collects valuable manufacturing data: defects in the manufactured products, the number of spent materials, cycle time, production line stops, production and non-production times, the number and coordinates of objects on the production line, workers’ movements, and more.

Softarex’s Production Monitoring System has the following features:

  • 24/7 production monitoring;
  • Real-time automated data collection;
  • Access to the obtained data from any electronic device;
  • Machinery condition checking;
  • Forecasting of workflow failures and possible congestion;
  • Quick notifying of any production-related problems: downtime, line stoppage, machine failure, etc.;
  • Real-time monitoring and counting objects throughout production lines;
  • Measuring the coordinates of necessary fragments or device parts of the specified machines;
  • Employee activity control.
This is a custom solution
Does it look like it may be a good fit for you? Contact us, and we’ll build a custom solution tailored specifically to your business needs.
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Project Results

Production Monitoring System by Softarex has helped our Customer achieve the following:

  • Reduced risk of production issues due to timely responding to the emerging alerts;
  • Reduced paperwork and human effort;
  • Fully automated production line workflow;
  • Streamlined production processes;
  • Improved production process efficiency;
  • Increased workplace safety;
  • Enhanced workers’ productivity and motivation thanks to continuous monitoring of their activity;
  • Reduced operational costs.

Technical challenges

  • Real-time processing of video stream from multiple cameras;
  • Development of AI algorithms for building adaptive maintenance plans based on actual  utilization;
  • Development of approaches for collecting data on various equipment using IoT and CV methods.
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Our experts

We are experts in software and hardware engineering. By using and combining cutting edge technologies, we create unique solutions that transform industries.

Softarex is a one-stop-shop, providing all services needed to make your project a success.

Sergey

Sergey

System Architect and Delivery Manager

My main responsibility as a Delivery Manager is to make sure that a product is delivered on time and within budget. To achieve that, I seek to create an encouraging environment for the team, where everyone can improve their skills, feel appreciated and, thus, produce greater value.

The use of Agile tools and techniques helps me organize the teamwork more effectively and transparently. Throughout my career, I have also been actively architecting, designing, and implementing software solutions — mostly web and desktop applications — for the Healthcare, Manufacturing & Energy industries that help companies and organizations ‌streamline day-to-day business operations.

Sergey  1

Sergey

System Architect and Delivery Manager

Maxim 1

Maxim

System Architect and Delivery Manager

Sergey  2

Sergey

System Architect and Delivery Manager

My main responsibility as a Delivery Manager is to make sure that a product is delivered on time and within budget. To achieve that, I seek to create an encouraging environment for the team, where everyone can improve their skills, feel appreciated and, thus, produce greater value.

The use of Agile tools and techniques helps me organize the teamwork more effectively and transparently. Throughout my career, I have also been actively architecting, designing, and implementing software solutions — mostly web and desktop applications — for the Healthcare, Manufacturing & Energy industries that help companies and organizations ‌streamline day-to-day business operations.

Learn more
Maxim 2

Maxim

System Architect and Delivery Manager

In over 10 years of my professional career, I have developed, architected, and managed dozens of projects for the Manufacturing & Energy, Restaurant & Hospitality, Aviation, and IT industries. I have hands-on experience with Mobile technology, Computer vision, Machine learning, Predictive modeling, Cloud computing, and SaaS.

I managed the development of a Computer vision-based kitchen management system for a large restaurant chain. We did a great job on this project, and I ‌consider it the highlight of my career.

Learn more

Get in touch with Softarex’s team

Have questions about your future project? Feel free to contact our team.
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Technology domains

Manufacturing
AI
Cloud Solutions
Computer vision
Deep Learning
Machine Learning
Neural networks