As we near the end of 2020, we have seen huge strides from artificial intelligence in the security sector.
Machine learning has become very adept at combing through large quantities of data to provide deeper insights, helping humans make informed decisions more quickly and efficiently, and ultimately improving the well-being of the company as a whole. If you run a business that requires reliable and constant security, you’ll understand how many moving parts it takes to secure your space and the people within, especially when there are various buildings involved. When AI is integrated into multiple interconnected security functions, business owners can stay one step ahead of mishaps, threats, and workplace risks that inevitably occur inside and outside of the company’s physical space.
According to a February article from Grand View Research describing future security trends, it’s expected that the global physical security market will reach $171 billion USD by 2027. Safeguarding physical space and individual assets has gained importance over the years, and the introduction of AI has only driven this market growth higher.
Osha.gov tells us that a staggering 18% of all non-fatal assaults in the U.S. occur while the victim is at work or on duty, and homicide is the third leading cause of fatal occupational injury. Business owners will always be concerned with the cost of doing business, but with statistics like these, the actual cost of physical security should be calculated in terms of what the potential costs could be if something serious happened and security wasn’t up to par. Of course, there are specific factors that attract a higher risk of workplace violence, according to the National Institute for Occupational Health and Safety. Factors that may increase a worker’s risk of workplace assault are:
Contact with the public
Exchange of money
Delivery of passengers, goods, or services
Having a mobile workplace, such as a taxi cab or police car
Working with unstable or volatile persons in healthcare, social services, or criminal justice settings
Working alone or in small numbers
Working late at night or during early morning hours
Working in high-crime areas
Guarding valuable property or possessions
Working in community-based settings
Wow, that list describes A LOT of job positions held by the working class, which as we know, props up the entire economy and well-being of our society. Protecting workers should be at the top of the priority list for every business owner, and that means investing in a security system that not only meets industry standards, but goes beyond average protocols to secure the business in proactive ways.
As we’ve previously examined, Verkada video cameras come with an impressive list of capabilities that can drastically increase the level of safety for employees, and significantly affect the overall security of the building(s). The newest feature to be added to Verkada’s security arsenal is License Plate Recognition.
Many security camera brands boast their own LPR feature, but rely on a single camera to both capture the license plate information and monitor the scene, which ultimately limits LPR accuracy and scene coverage.
What sets Verkada apart is its dual-camera system, providing business owners with the most comprehensive LPR coverage in the event of an incident involving a vehicle. Whether it be a traffic accident, an act of aggression, a fleeing suspect, or anything else, it’s so important to be able to clearly capture license plate information on the vehicle in question, while not losing the visual of the entire scene.
Verkada’s dual-camera system provides exactly that: an LPR camera that uses a telephoto lens to capture high resolution images of license plates, and a context camera that uses a wide-angle lens to capture the entire vehicle and provide additional visual evidence for the entire event. Then a specialized feed brings the two cameras together, so footage from both cameras can be seen side by side and vehicle events can be monitored in real time.
And just like with every Verkada video camera model, footage can easily be filtered and searched based on date, license plate number, or vehicle type. For any given search, the complete list of license plate results can be exported to a CSV file for offline analysis.
With automatic, intelligent License Plate Recognition software that delivers accurate, real-time results, the perimeter of your business has never been more secure. But this type of security measure is obviously most useful in areas outside where vehicles are parked or have access to, specifically:
Taking it a step further, this advanced LPR software can also be used in a school setting. We’ve explored Connected Schools and how their intelligent, interconnected security functions work together to create a highly secure and safe environment for students and faculty. Verkada’s LPR software fits into this relationship perfectly, adding another layer of powerful protection to the campus and proactively alerting when events occur.
The advancement in AI is taking physical security to new heights, and we are excited to be at the forefront of this wave, delivering reliable, easily scalable security solutions that are virtually effortless to use.