Machine Learning

Transforming manufacturing with cutting-edge machine learning technology

At Bridge Automation, we specialize in developing custom-made machine-learning-powered solutions for your needs. You might have a machine that fails from time to time and cause you a lot of damage and loss in production, or you wish you had a camera that automated quality control for you and eliminated the need for someone to monitor the final products at all times. There’s most likely a low hanging fruit at your plant, making you wish you could optimize, monitor, or automate the process. Well, that’s exactly what we do and we’re here to help!

Active Monitoring

Your first step to digitalization; capture and analyze your data, then get actionable insights

Predictive Maintenance

Reduce your downtime by a minimum of 15% using the power of AI

Automated Visual Inspection​

Automate your QC line by integrating AI-powered computer vision systems

Dimension Verification

Automated and flawless precision and consistency for your dimension checks

Defect Detection​

Eliminate the need for inconsistent and labor-intensive manual QC

Energy Optimization

Optimize the performance of your energy systems and lower your energy bills

Custom-Made Solutions

Want to take your manufacturing to the next level? Get a unique smart manufacturing strategy and a machine learning model developed and trained on your data. We'll help you achieve optimal performance and stay ahead of the competition.

Active Monitoring

Active monitoring is the first step to digitalization, as it provides the foundation for capturing and analyzing data in real-time. Active monitoring can visualize different aspects of machines and processes, including OEE, potential machine failures, and root-cause analysis. 

Time Range: Live, Last Shift | Week | Month | Year

Predictive Maintenance

A critical motor failed. Millions of dollars in lost revenue. You don’t want it to happen under your watch, and predictive maintenance is the solution. It is the solution to any of your problems that involves someone having to watch over the machine or machine metrics, making sure nothing goes wrong.


Predictive, prescriptive, and preventive maintenance are different methods to reduce downtime in machines, by identifying assets that are most likely to fail and determining the best schedule for maintenance.

Time Range: Live, Shift | Week | Month | Year Ahead

Automated Visual Inspection

AI-powered visual inspection systems can be seamlessly integrated into production lines to detect defects, product mismatches, check product dimensions, and provide 24/7 monitoring with consistent accuracy and without fatigue, enhancing the quality control process, reducing human error, and eliminating the need for manual inspections.

Reduce human errors and labor-intensive manual inspections, and embrace a new era of quality control excellence.

Dimension Verification

Take your manufacturing processes to the next level with cutting-edge machine learning algorithms and advanced computer vision technology, experience flawless precision and consistency with state-of-the-art cameras and sensors that effortlessly pinpoint deviations from exact specifications, catching inconsistencies in real-time production.

Defect Detection

Machine learning powered computer vision systems have revolutionized defect detection in manufacturing, offering a game-changing advantage that eliminates the need for inconsistent and labor-intensive manual quality control. These systems are capable of tirelessly analyzing every image and every detail in the image, identifying the most subtle imperfections, while delivering unmatched speed and precision.

Machine Monitoring for Preventive Maintenance

If you have a machine with frequent visible failures, you could benefit from a visual system that monitors your machine continuously and alarms your staff if it predicts an issue is about to occur. An example of this is monitoring calenders during the spinning process of fiber production. Fiber wrapping is a common problem in the pulp and paper industry, often caused by quality issues in the fiber itself. A deep-learning-based vision system can monitor the calenders in production and alert technicians before fiber wrapping occurs.

Machine Learning in Energy Conservation

Process optimization involves identifying bottlenecks in your workflows and developing more advanced and specific solutions for the problem. This optimization is achieved by conducting thorough analysis on your data, gaining insights and finding specific ways to improve your processes.

Deep-reinforcement learning algorithms can optimize the performance of energy systems such as HVACs and air compressors to minimize energy consumption and costs. In case of HVAC systems, this goal is achieved by adjusting the temperature and airflow in a building based on occupancy patterns (based on historical data), real-time weather forecasts, and other factors to predict heating and cooling needs. In an industrial setting, the historical data comes from different sources such as operation records and logs.

How do machine learning algorithms learn from my data?

With the power of machine learning, enormous amounts of data from sensors and other resources can be analyzed, and the driven insights can help reduce costs and improve efficiency in ways that are impossible without machine learning algorithms. Unlike traditional programming, machine learning algorithms can extract patterns from historians and real-time data such as sensor data without explicit programming.



Bridge Automation specializes in data gathering, and seamlessly integrating cutting-edge machine learning models into your existing infrastructure. We will work with you to gather the required data for model development (or use the existing historical data you’ve collected), and conduct data analysis to gain a deep understanding of your data. Then, our team of machine learning engineers will train a machine learning model on provided data and finally, deploy and integrate it with your current infrastructure, minimizing your hardware costs and need for adjustments.

Learn more about our hardware integration, software offerings, and deployment options