Computer Vision Software for Drones in Utility Sector

UAVs (Unmanned Aerial Vehicles) can be used in monitoring and maintenance of all types of power and utilities production facilities. Using special sensors, they capture the current state of territory and provide analysis of numerous factors influencing the operation of the facility.

Area monitoring is an important part of work for any power and utility business because prevention of accidents is often much more cost-effective than management of the problems. The areas that power and utility companies have to monitor are in most cases spread all over huge areas with numerous hard-to-reach objects. The inspection of some areas can be risky and dangerous for people and before drones they were monitored only with the help of planes and helicopters.

Machine Learning and Computer Vision can significantly improve the accuracy and efficiency of area monitoring. Machine learning presupposes that algorithms are trained to solve tasks independently based on the analysis of provided examples of similar solutions. If trained to find suspicious objects near power grids, AI-powered drones can do it automatically reducing the workload of employees. 

Drones are getting more and more widespread today for area monitoring and offer the following benefits:

1. Cost-effectiveness: Area monitoring with the help of drones is cost-effective compared to any human work. Using drones and video analytics of the footage it is possible to monitor large areas effortlessly and promptly with minimal human involvement. 
2. Reduced amount of errors: Using AI gives companies a chance to avoid errors because of a lack of concentration or inattentiveness. Image analysis performed by a human being decreases with the hours spent at work because of exhaustion. Whereas machines only get smarter by analyzing more mages.
3. The increasing level of accuracy: Using video analytics (Machine Learning + Computer Vision) for the image analysis presupposes that the quality of this analysis will be increasing with the amount of data that is fed into the system. Data in this particular business case means labeled images. 
4. Reduced workload: Employees of power and utility companies can automate repetitive tasks. 
5. Employee safety: Lower risks when monitoring hard-to-reach areas.

Use Cases of AI in Utility & Power Sector: Vegetation Management

Monitoring forestry is one of the most challenging tasks for the power industry. The contact between tree branches and power lines is the reason for the power outage and most companies naturally avoid this. Reducing the risk of contact between vegetation and power lines could decrease costs for the utility and power industry immensely. 

Improperly Placed Wastes

Debris placed near important power and utility objects can be a real threat. They can be easily inflammable, toxic, or increase the risks of accidents for employees. Spotting improperly placed junk or scraps before any accidents means decreasing risks for the organization. 

Pipeline Construction Monitoring 

During the construction of the pipelines, it is important to monitor the area because of the potential threats of intrusion, fires, and floods. Drones powered with AI help to monitor pipeline construction areas even in the most hard-to-reach areas. 

Intrusion Monitoring

The power and utility area is attractive for intruders who aim to take profit from the expensive materials. Sometimes vandals invade the perimeter without permission. A flying drone can immediately detect intruders and send an alert to security personnel.

AI-powered drones are applicable in numerous industries today. Here are some use cases from other industries:

• Logistics: Transport infrastructure monitoring (roads in the process of construction).
• Real estate: Objects monitoring during construction. Using drones for these purposes allows us to perform quality control and analyze the progress of the construction.
• Telco: Monitoring of telecommunication installations.
• Agriculture: Crops conditions monitoring, disease hallmarks monitoring, fertilization needs analysis. All these goals can be achieved remotely using AI-powered drones.
• Insurance: Using drones, it is also possible to eliminate numerous conflicts with farmers in case of insurance claims.