Page 8 - Security Today, JulyAugust 2023

The Intelligence Needed with Any System By Patrick Kelly Comprehensive security systems today typically include a series of IP net- work cameras. How can they not? For any security system (including access control, alarms and intrusion protection) to be efficient, it needs these “eyes in the sky.” Simply call- ing them “eyes” anymore though does not seem to encompass all possibilities. These are network devices that add intel- ligence to a system, with analytics onboard and deep learning capabilities that maxi- mize effectiveness and can reduce costs. Previous pixel-based cameras have been known for triggering false alarms. When this evolved to machine learning analytics, the false alarms reduced, but were still not as detailed as many campuses, healthcare facilities, distribution centers, and others needed for monitoring purposes. The latest developments for network cameras include deep learning, with algorithms trained to be more granular and specific. For example, one difference is that some machine learning analytics are trained to identify a vehicle versus a hu- man, but Ai software and deep learning engines can categorize a human versus a vehicle; then they classify that vehicle as a car, truck or bus. Network cameras with onboard Ai an- alytics are rule-based and only detect and track the objects wanted. Without envi- ronmental factors like heavy rain, spiders, or moving lights triggering an alarm, the monitoring in place is far more efficient and conserves storage space. This is espe- cially critical for IP camera systems with multiple monitored zones and many virtu- al tripwires, requiring intelligent software to properly alert and notify a user or mon- itoring center based on the configuration. The added layer that many industries require for efficient security is IP cameras with license plate recognition, but the more important aspect of these types of devices now is their ability to be user-friendly. Automatic number plate recognition (ANPR) network cameras use the embed- WangXiNa/Shutterstock.com ded Ai engine to extract the numbers and letters on a vehicle’s license plate and con- vert that into readable, searchable data. This simplifies and expedites a user’s data- base search, creating a more efficient pro- cess and faster response time. In addition to scanning and identify- ing license plates, ANPR IP cameras can include make, model and color (MMCR) detection. This expands the searching ca- pabilities for all types of users and central stations that often need to quickly find and recognize vehicles based on descrip- tions other than a license plate and export that information. A key benefit to many of these mega- pixel Ai network cameras is having the analytics already included in the device; ready to learn the monitored area and pro- vide 4k resolution. It is a cost-efficient and quality update for all industries to move toward. Still though, the deployment and installation costs of new cameras can be cumbersome at times or may need plan- ning in phases. The answer to this is Ai in- tegration with an existing camera system; having the advantages of Ai software ana- lytics on the server side, even for cameras that are non-analytic. Taking any camera stream in, it becomes an Ai-powered cam- era with the same analytics advantages while keeping other budgets in mind. While network cameras have become a necessity in most markets, in conjunction, many companies at this time prefer on-site servers and software at their location as well as the cloud service and connection. This hybrid setup provides the company or lo- cation with flexibility to manage and store most of footage and data on the premises, while still being able to remotely access the system, manage a site, and/or store impor- tant records and information via the cloud. Edge-based Ai network cameras are optimizing the performance of all systems. While the cameras themselves may not be considered the “brains of the system” just yet, the clarity, quality and intelligence of the devices has made it clear that they are a necessity for any complete security system. Network devices with onboard Ai ana- lytics or existing cameras with integrated server-side analytics turn a standard securi- ty system into an end-to-end solution. With different onboard options or alternative methods to phase in the optimal capabilities of Ai analytics, a comprehensive and user- friendly solution can en- hance the security for all types of industries. Patrick Kelly is the director of IP sales at Digital Watchdog. 8 JULY/AUGUST 2023 | SECURITY TODAY NETWORK CAMERAS