Ken Francis, CEO of Actuate reveals how the company is at the forefront of the AI-powered video technology shift.
As the CEO of Actuate since November 2024, I have brought over two decades of experience in the security technology sector.
Prior to joining Actuate, I served as President of Eagle Eye Networks for eight years, where we significantly increased market visibility with four appearances on the Deloitte Technology Fast 500 list.
My professional journey includes leading the re-entry of ADT Security Services into the commercial market and spearheading security technology at firms like UTC Fire & Security, GE Security and G4S Technology (aka: AMAG Technology).
My passion lies in driving innovation in AI-based video analytics, with a focus on reducing false alarms and enhancing security technology effectiveness.
To shift from a reactive to a proactive stance, the security industry must prioritize the integration of AI and real-time analytics into security systems.
Traditional alarms often rely on simple motion detection, leading to high rates of false alarms and delayed responses.
By embracing advanced technologies such as our multi-model AI systems at Actuate, organizations can monitor alerts in real-time, differentiate significant threats and intervene before incidents escalate.
There’s a common misconception that reducing false alarms in video surveillance is just about distinguishing people and vehicles.
The reality is far more complex.
Effective false alarm reduction isn’t merely a simple “motion → human? → yes/no” equation, which is the approach many video management system (VMS) companies and lower-quality AI solutions take.
If no person is detected, no alarm is triggered, but this can lead to a significant number of missed alerts.
High-quality AI-driven analytics rely on many different algorithms working in concert.
Actuate’s analytics and filters (additional algorithms) work together like layers of Swiss cheese.
Each layer has some holes and areas where false positives can slip through, but when used together in the right way, there is almost no way for something to get all the way through.
The layers include our motion detection algorithm, multiple stationary filters, blacklist(s) and models based on the modality and/or scene of the camera, etc.
Absolutely, reducing false alarms is not only possible; it is the fundamental core of how we develop every analytic at Actuate.
Our AI-driven solutions use advanced video analytics to analyze events, minimizing false positives more effectively than conventional methods.
Video monitoring adds critical context, allowing for immediate verification of potential threats, which drastically improves response accuracy and overall operational efficiency.
Seamless integration is vital to maximizing the efficacy of security systems and enhancing operational efficiency.
At Actuate, our cloud-based solutions ensure that integrating AI-powered video monitoring does not disrupt existing infrastructure.
We design our systems to be compatible with a wide range of hardware and software, allowing organizations to enhance their security capabilities without incurring costly hardware upgrades.
Actuate is truly “open” and can be used with every video monitoring software platform or video management system.
The key to seamless integration is using standard and secure off-the-shelf tools for lasting interoperability between the AI provider and the customer’s user experience.
Actuate also has a rich, well documented, publicly available API which enables customers and service providers to be creative when reducing the effort to support critical integrations.
The advantages include enhanced real-time threat detection, improved resource allocation through data-driven insights and significant reductions in false alarms.
Actuate’s platform is highly scalable, designed to grow with businesses regardless of their size, ensuring effective protection as security needs evolve.
For instance, features such as gun detection, crowd management, loitering and slip-and-fall can be tailored to fit various operational contexts.
The industry is increasingly recognizing the critical need for AI-driven solutions.
Many security providers are looking to enhance their service offerings through advanced monitoring systems, seeing the tangible benefits of reduced false alarms and improved incident response times.
Actuate’s leadership in this space has garnered strong partnerships and collaborations, demonstrating a collective shift toward embracing technology that prioritizes both operational efficiency and client trust.
In other words, the industry is evolving quickly and I believe the video system must help the customer and service provider focus on the “real threats in real time” as opposed to serving as a place to research a past incident.
Yes, the further adoption of AI-powered video technology is poised for exponential growth.
With rising demands for sophisticated security measures and the clear advantages that proactive analytics offer, we anticipate a significant increase in interest and investment.
As threats become more complex, organizations across all sectors will seek innovative, reliable solutions like Actuate’s to enhance their safety protocols and improve their operational efficiency.
Ken Francis, CEO, Actuate
In the evolving landscape of security, understanding the true impact of false alarms is crucial.
As security systems evolve, leaders in the industry must acknowledge the implications these false alarms have for businesses and public safety organizations.
The prevalence of false alarms can significantly drain resources, compromise safety and erode trust in security measures.
While overseeing security measures across various sectors, organizations must consider the multifaceted costs associated with false alarms.
Whether sparked by faulty motion detectors, aging sensors or human error, these alarms can lead to wasted time and financial resources.
Research shows that an astonishing 90% to 99% of all security alarms are false, amounting to over 62 million false alarms each year and costing upwards of $3.1 billion.
These figures reflect a reality far removed from the perception that false alarms are merely an inconvenience.
The financial burden is compounded by penalties imposed by municipalities; many cities charge fines that range from $50 to $500 for excessive false alarms.
Such costs can accumulate quickly, particularly for businesses relying on outdated security systems, further straining their operational budgets.
Each false alarm not only results in financial penalties but also diverts valuable emergency resources from real threats.
Law enforcement, fire services and emergency medical teams are compelled to respond to false alarms, diminishing their efficacy in addressing genuine emergencies.
This can lead to critical delays in response time that could compromise public safety.
Moreover, false alerts can cause significant business disruptions.
Evacuations, lockouts and system resets disrupt daily operations, leading to lost productivity and aggravated employees.
The flow-on effects can tarnish customer relationships, create operational chaos and ultimately damage a business’s reputation within the community.
The phenomenon of alarm fatigue is a genuine concern in the security industry.
Security personnel and emergency responders have become desensitized to alerts after repeated false alarms, leading them to deprioritize subsequent alerts.
This erosion of trust increases the risk of missing real threats, thereby weakening the overall efficacy of security systems.
The implications extend beyond the realm of security personnel as well.
Excessive alarms can create panic among employees or patrons, leading to hasty actions and increased risks of accidents or injuries.
These scenarios highlight the critical need for effective alarm management strategies within security frameworks.
To mitigate the problem of false alarms, organizations must adopt advanced algorithms and data-driven, intelligent security solutions.
Transitioning from basic detection methods to sophisticated AI solutions, like those offered by Actuate, can redefine how security breaches are monitored and managed.
Reducing false alarms should not hinge solely on distinguishing between people and vehicles; this simplistic view overlooks the complexity of the issue.
Quality false alarm reduction relies on the collaboration of multiple algorithms – approximately 20 to 50 working together – to process a vast array of data inputs.
Systems that leverage advanced AI analytics, such as those designed by Actuate, can incorporate environmental variables, object classification and behavioral patterns, providing a comprehensive view that filters out non-threats effectively.
This article was originally published in the May edition of Security Journal Americas. To read your FREE digital edition, click here.