AI solutions for computer vision vary across sectors but there are techniques such as transfer learning and explainable AI that can be applied to many challenges. Well-established AI models from one industry can inspire a novel approach in another industry. The following use cases are a glimpse of what is possible.


Computer vision for construction and public works is driving a new standard for productivity, cost optimization, and employee safety. Yet data collection at many work sites remains difficult even with the use of drones for image capture. Challenging physical settings and non-traditional data inputs demand specialized expertise in physics and data preparation to deliver the value of AI solutions for construction site computer vision.

Our clients trust us to deliver maximum value for their building information modeling, materials tracking, employee flow optimization, personal protective equipment (PPE) monitoring, worker safety, and productivity.

Case Study : Bridges /drones


Much of the history of machine vision in the industrial sector has involved sorting one thing from another, the good from the bad. As camera technologies have improved, machine vision has been deployed for ever more precise quality control use cases, especially ones that involve parts that would be too small or hazardous for human inspectors.

The application of machine learning to industrial computer vision enables a new level of excellence in quality control, defect detection, assembly verification, and factory efficiency and safety. Instead of simply sorting the good product from the bad, machine learning allows computer vision systems to instantly identify the faulty step in the production process, saving line down time and reducing waste. Unsafe situations or behaviors can be identified and corrected before mishaps or injuries.

AI, when applied to computer vision in life sciences, helps scientists sequence DNA, automate lab processes, perform image analysis, count and classify biological cells, assists doctors with 3D imaging during surgery to help determine where to cut, increases the capabilities of microscopes, and improves the accuracy of mammograms.

Our life sciences clients and the patients that depend on their success have benefited from the precision of our algorithms, models, and techniques to extract regions of interest from diagnostic and ultrasound reports, as well as to quantify and classify anomalies.


The energy sector is emerging as one of the most promising and most important applications of AI-driven computer vision. The combination of climate change, depletion of natural resources, and increased demand for electricity are driving the need for clean, safe, affordable, and reliable energy. The intersection of AI and computer vision can unlock many of the challenges associated with meeting the worldwide demand.

With the use of drone or satellite images, as well as other data, algorithms can optimize solar panel installations and predict power supply and demand. Computer vision allows quick and safe detection of damage, corrosion, leaks, emissions, thermal losses, and more, which ensures worker safety, protects the environment, and reduces waste.

The potential for AI and machine learning to enable and improve computer vision systems is almost without limit. Explore how Dynam.AI clients have improved processes and performance for themselves and their customers.