Page 53 - Security Today, November/December 2022

"The people that will be expected to learn and use the new technology can either be a contributor or a barrier to its success... It’s great to have AI that detects weapons, but if there is no one to receive the alarm or react to it, then it’s a waste of time and money." • Are there additional maintenance costs? • Will the solution require additional servers, storage, or other IT equipment? • What are the expectations of analytics (if they are involved)? • Is the information being captured relevant to the existing security program? • Who will respond to an alert and when? • If an analytic is used to identify weapons and one is detected, how will security officers be expected to respond, and with what protective equipment? • If an outside law enforcement agency is called, what is the facility’s understanding of their response time and responsibilities? Find a Solution that Works Today, Tomorrow, and Easily Grows with Your System Investing in the latest technology is only worth it if it works today— and tomorrow—and allows for system expansion without having to rip and replace. One of the best ways to ensure a future-proof solu- tion is to select devices from companies with a commitment to open architecture. Whether it’s video surveillance cameras, wearable cam- eras, or access control devices, it’s essential that there are no silos when it comes to how these products interact with each other and the existing system. Security products are part of a larger ecosystem that relies on adherence to open standards to be effective. For healthcare security planners concerned that deploying advanced technology like analytics means they must invest in more servers or storage, in many instances, that is no longer the case. The emergence of edge processing is making AI-based analytic technologies more affordable and more scalable. Some surveillance cameras include Deep Learning (DL) AI processing resources built directly into the edge device. Video management software platforms can include features to leverage metadata from cameras in a more intuitive way, as well as deeper integrations to more traditional server-based analytic offerings. An advantage of using edge computing in a surveillance camera, for example, is that the analyzation process sits as close to the source as possible. Edge analytics tend to have better accuracy because the analysis is performed on the raw video data prior to processing for compression for codecs such as H.265. Leveraging edge processing as a foundation for video analytics positively affects the overall solution architecture by reducing latency, reducing points of potential failure, improving scalability, lowering total cost of ownership, and—in scenarios that require connecting the device via an LTE router or gateway—significantly reducing data plan costs. In addition to asking if products will work today and tomorrow, it’s important to consider whether they will be needed tomorrow. During the COVID pandemic, many companies rushed to spend thousands of dollars on thermal cameras to evaluate visitors for fever. Even though some of these thermal cameras may have had the capability to accurately gauge human body temperature, they were not designed for mass screenings or long-range fever detection, which can be By Paul Baratta affected by environmental factors. In many instances, they were purchased anyway in response to an emergency pandemic, and they are likely now sitting in a storage closet as they were deemed impractical. This is similar to what happened after 9/11, when some airports began purchasing facial recognition technology. Airport security departments did not purchase this relatively new (at the time) technology because they knew how to use it or because they knew it would prevent plane hijackings; they did so because in the emotional aftermath of 9/11, they felt they had to do something, regardless of whether it proved useful. Products Worth Investigating A healthcare facility, or any organization, that is evaluating ways to integrate the latest technology into its security program should consider incorporating AI into its video surveillance solution. Analytics are much different—and much improved!—from those that users may have tried in the past, which often resulted in false alarms, frustration, and disabling of the system. Today’s analytics offer AI and deep learning that deliver powerful features like facial recognition, weapons detection, license plate readers—even the ability to quickly locate someone wearing a yellow shirt running through a crowded emergency room. These capabilities can help security respond to and isolate threats more swiftly. In addition to improved AI and analytics, some hospitals are deploying supplemental surveillance solutions like wearable cameras. Wearable cameras have been found to improve security in many ways. Even though acts of violence are increasing at healthcare facilities, wearable camera solutions can help reduce them. After hospitals in the United Kingdom deployed wearable video solutions for staff, they reported a 28% reduction in workplace violence. Oftentimes, just the presence of a wearable camera—along with a warning from hospital staff that employees are wearing cameras—is enough to de-escalate or prevent an attack. If the attack occurs, the camera provides documentation for any investigation or prosecution. Develop—and Adhere to—a Plan As healthcare facility managers navigate the ever-evolving security landscape for solutions that can better protect employees, patients, and visitors, it’s important to conduct due diligence, choose the right products for today and tomorrow, and develop a plan that is regularly revisited and revised as needs change. Whether expanding the size of the premises, dealing with a pandemic, or confronting increased violence, having flexible solutions that can be adjusted and scaled accordingly is essential for any business. Needless to say, this is especially true when you’re a healthcare organization and you’re in the business of saving lives. Paul Baratta is the Healthcare Segment Development Manager at Axis Communications. NOVEMBER/DECEMBER 2022 | campuslifesecurity.com 9