In This Way, Burglars Are Driven Away Instead Of Just Being Recorded

Whether apartment, office complex or production hall: When it comes to security, effective protection against burglary and theft is required. Of course, nobody in Germany is legally obliged to comply with certain precautions. However, it is always in your own interest to protect yourself as best as possible. Who would want to find empty or devastated rooms. In reality, however, the topic is often treated carelessly. Classic surveillance cameras are perceived as a quick and inexpensive remedy. At least you can see what is happening on the recordings. And if in doubt, someone will hear the alarm and respond, right? A fallacy.

Significant Security Vulnerabilities

The following applies in principle: Good surveillance cameras are essential for effective security concepts. They provide clarity as to whether unauthorized persons gain access. If an emergency occurs, they trigger an alarm. The problem, however, is that classic products do not reliably identify people. They also regularly report false alarms when there are animals, rain or snow. This is nerve-wracking and often leads to camera notifications being deactivated – with fatal consequences. In the event of actual burglaries, users remained clueless for the time being. In these cases, the video technology must contribute as much as possible to the clarification. However, since the perpetrators usually disguise themselves, the camera recordings are often of little use in tracking them down. The material damage and mental stress associated with a burglary can no longer be averted anyway.

Prevent break-ins from the start

Experts therefore recommend for effective burglary protection to products that not only track intrusions, but disrupt them in advance. This is made possible by smart surveillance cameras that work with artificial intelligence (AI) – starting with person recognition. Such products can not only identify and record people. They also distinguish between people, animals and cars, thereby deducing false warning signs.

A good example of AI-supported cameras are the products of the German manufacturer Lupus- Electronics. The „Lupus LE200 POE“ uses so-called third-generation deep learning to identify people. Deep learning is part of artificial intelligence and stands for algorithms that can be trained using data. Each camera image is compared with the already known data. Then, with the help of intelligent motion detection, a probability is calculated in real time as to whether the image is actually a person or another object. So the longer an LE232 camera is installed in one position and the more frequently it registers movements there, the more accurate it becomes Detection of objects.

Crisp color images

Even the attempted break-in is punishable and should be reported. To ensure good images for tracking, the LE232 therefore still images in color even with minimal residual light and that in comparison to conventional ones Cameras with a much higher level of detail. The LE220 alarm camera has a 4MP resolution (2688 ×1520 pixels), PoE power supply, IP67 protection class for outdoor use as well as alarm inputs and outputs for connecting third-party devices. Thanks to angles of 103°(H) and 60°(V) and up to 53 meters of IR night vision, the camera can be used universally.

Anyone who is serious about burglary protection should pay attention to the networkability of security and smart home products in addition to basic mechanical protection. Smart home surveillance cameras and sensors can be real helpers to actively prevent burglaries by identifying people, addressing perpetrators and real-time alarms. Which products are appropriate for optimal object protection should be assessed individually depending on the size and condition of the house and terrain. If you invest in the right place here, you can feel a whole lot safer in the end. And let’s be honest: It’s definitely easier to live.