How to strengthen your solar farm security with Video AI Analytics

Solar parks are often victims of burglary and theft. Whereas previously it was about the solar panels themselves, nowadays criminals target copper cabling. Damages run into tons and solar parks are sometimes out of action for months. The demand for security around solar parks is therefore on the rise.

To secure solar parks, traditional security techniques such as fencing, camera systems and sensors are often used. This helps to some extent. After all, when a break-in occurs, it is often already too late. Ideally, you want to prevent a burglary attempt at the earliest possible stage. In this article, we zoom in on how Video AI Analytics can play an important role in this.

Challenges security solar farms

Securing solar farms is quite a challenge. Solar parks are often large in size and are generally located in relatively remote locations. The latter makes the surroundings very dark at night. In addition, solar parks are often surrounded by various forms of vegetation (grasses, trees, etc.) and may or may not be grazed by animals such as sheep, goats or cows.

As is becoming clear, there are plenty of challenges in areas such as camera coverage and bandwidth/range. But it goes beyond that. Because when all this is well organised and a solar farm is well secured with cameras and/or sensors, environmental factors are often also a source of many false and/or unnecessary alerts. So how can Video AI Analytics solve these problems?

What is Video AI Analytics?

Video AI Analytics is a technology that monitors video footage 24 hours a day and detects any anomalies. Using smart algorithms, it recognises people, objects, vehicles, animals and patterns. Video AI Analytics is therefore able to give meaning to what happens on footage. If something undesirable takes place, in this case a break-in at a solar farm, the software generates a notification. This notification can be disclosed to a control room, for example, so that action can be taken. In this way, Video AI Analytics is effectively a smart layer over your existing camera systems. Want to know more about exactly how Video AI Analytics works? Then read this article.

Voordelen Video AI Analytics voor beveiliging van zonneparken

So, a smart layer over your existing camera systems. So what benefits does this bring when deployed to secure solar parks? Below, we briefly sum it up for you:

24/7 alert: as mentioned, Video AI Analytics monitors video footage 24 hours a day.

Real-time: Video AI Analytics detects anomalies in real-time, making it possible to spot intrusions at an early stage and prevent theft.

Reducing number of false reports: thanks to Machine Learning and Deep Learning, Video AI Analytics is trained to distinguish between different objects. Therefore, an animal or moving branch will never be mistaken as a person. This extremely reduces the number of false alerts. Want to know more about why Video AI Analytics is so accurate? Then read this article.  

Various: by layering Video AI Analytics as a smart layer over your existing camera system, it is possible to use your cameras for more than just intrusion detection. In fact, this technology also offers opportunities in smoke and fire detection, vehicle recognition and more.

Advanced search capabilities: the software additionally generates metadata from the video footage, making it easy to look up specific events or objects. This facilitates forensic investigation and data analysis afterwards. Want to know more? Find out all about video metatagging in this article.

Scalability: Video AI Analytics can be easily implemented on existing camera systems, enabling security improvements without large investments in new hardware.

Multi-purpose: Video AI Analytics can be deployed in several ways: on-premise, in the cloud or via an edge device (via mobile camera towers, for example). In this way, there is always an appropriate solution for the situation. Read more about the differences between on-premise, cloud and edge in this article.

Integration with other systems: lastly, Video AI Analytics features very open nature, allowing it to interface with other software and hardware systems. Think, for example, of VMS and PSIM systems, as well as interfacing with thermal cameras, barriers or doors.

Discover the potential of Video AI Analytics for solar farm security

Want to know more about the potential of Video AI Analytics for securing solar farms? We would be happy to tell you more about it. We are VAIBS. An ambitious and energetic company from the Netherlands that helps organisations turn information from video images into actionable data. We do this by making every (existing) IP camera smart using Video Artificial Intelligence.

For this, we use Vaidio: the Video AI Analytics platform to which tens of thousands of cameras worldwide are connected every day to detect objects, people, anomalies and patterns. And it does so with unprecedented speed and accuracy.

The Vaidio platform is highly intuitive, user-friendly and works with practically any IP video camera and existing VMS/-NVR systems. This, of course, fully complies with the AVG/GDPR legislation.

Want to know more about Vaidio? Download the brochure or contact us on +31 (0)85 4873 031 or info@vaibs.com.