If your CCTV system could think — what would you ask it?
Providing proper care is task number one for hospitals. A safe working and living environment for patients and staff is very important in this. Almost all hospitals are therefore equipped with a good security network, consisting of security cameras, access systems, control rooms and more. Video AI Analytics can be an important addition to this. Wondering how? In this blog, we cover nine ways.
But before we get into that, what is Video AI Analytics again? Video AI Analytics is the process of using algorithms to automatically recognize and detect spatial or temporal events on video footage. Think of unsafe or unwanted situations, such as burglary or fire. It can also be used for practical purposes such as license plate recognition, crowd management or all kinds of object detection. Learn more about the benefits of Video AI Analytics in this blog. lees je in deze blog.
Now that the definition of Video AI Analytics is clear, it is time to look at how this technology can improve safety within hospitals.
As mentioned, most hospitals are secured with an extensive network of systems, hardware and security personnel. Yet monitoring is often based on physical, visual control. There is a high chance that important issues are missed, as it is often impossible for security personnel to look at all screens 24/7. Adequate action is then difficult and assessment of situations is often based on looking back at images.
Video AI Analytics can automatically monitor real-time video images 24 hours a day, seven days a week. Anything untoward happens? Then the system immediately generates an alert. In addition, Video AI Analytics is very accurate. This greatly reduces the number of unwanted alerts that conventional security equipment often generates.
Video AI Analytics can also be used to monitor hospital visitors. And that for a variety of purposes. Think of automating access control using facial or license plate recognition or monitoring social distancing and occupancy rates. Furthermore, integration with thermal cameras is also possible to apply temperature screening. Something that can play an important role in times of a pandemic.
Hospital staff regularly wear protective clothing. Video AI Analytics can play an important role in this area as well. Namely, it is able to detect whether or not protective gear is being worn. If they are not, the system generates a notification. Useful, for example, when hospital staff is working in a sterile room, where wearing those clothes is very important. In addition, it is also possible to check whether all persons present in the hospital are wearing a mask, for example.
Our healthcare employees make healthcare. Literally. Because when they are able to perform their jobs optimally, they make patients and clients’ day a little better every day. Video AI Analytics can support care workers in their work. For example, it is possible to detect if persons fall out of bed. If this happens, a caregiver can be alerted via integration with a care call system. As a result, patients or clients do not lie on the floor for long periods of time and worse can be prevented.
Active video surveillance can also monitor equipment and medical devices. Examples include wheelchairs, IV carts, oxygen support systems or mobile workstations. The Video AI Analytics is then trained so that it recognizes these objects. This equipment can also be provided with QR codes or tracking tools such as GPS and RFID, which, together with video surveillance, allows real-time location of equipment and instruments. Searching for equipment is therefore a thing of the past.
The number of firearm-related incidents is unfortunately increasing every year. This means that the likelihood of an armed incident within hospitals is also increasing. However, additional security guards and more locked doors do not always increase security levels. Adding Video AI Analytics to the existing infrastructure does. This software is capable of detecting (handheld) weapons and rifles within a fraction of a second. This automatically generates an alert so that security personnel can act appropriately.
Video AI Analytics can be used much more broadly than inside buildings alone. Because there are often also many cameras outside buildings in parking lots and the areas around them. Here, video analytics can be used to monitor and optimize traffic and parking management, but also to secure ambulances and cars against theft. License plate recognition, as mentioned, makes it possible to automate access control. And this is just a sampling of the possibilities, which in practice are far greater.
With the deployment of Video AI Analytics, manual security tasks are automated. This allows available capacity to be used more effectively. Due to the high reliability of this technology, the number of unnecessary reports is also significantly reduced. In short: the current personnel can be used in a more targeted and therefore more efficient way. This ultimately results in considerable cost savings.
After reading this blog, have you become curious about how Video AI Analytics can be deployed within the hospital where you work? Then get in touch with us. Our specialists will be happy to tell you more about the possibilities.
In fact, at VAIBS, we help organizations use Video AI Analytics to extract valuable information from video footage and turn it into actionable data.
We do this through 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 virtually any IP video camera and existing VMS/PSIM systems. This, of course, fully complies with the AVG/GDPR legislation. More information about Vaidio can be found in the brochure available for download by clicking on this link. this link.