In the critical role of safeguarding the public, security leaders polled find two of their top challenges to be reactive approaches and subjective decision-making. While intuition and “gut-feel” are essential to protecting physical security, quantitative data can help teams support a more proactive security posture with evidence-based decisions around staffing, resourcing, training, and ConOps (concept of operations) planning.
But analog security technologies like walk-through metal detectors, visual bag scans, and wanding don’t capture information accounting for their own performance. Security teams must rely on manual counts, observation, or word-of-mouth to understand their effectiveness and even to learn what threats they are catching.
Weapons detection with Evolv Express is different. It combines sensors, cameras, and artificial intelligence to pinpoint the location of possible weapons threats on visitors’ persons or in their bags, ignoring everyday metal items so most people can walk right through and removing the burden on guards to visually assess almost everyone for possible weapons threats.
And, as it works, Evolv Express collects and communicates quantitative data at the threshold of every venue. While most people simply walk through the system at a natural pace—avoiding long lines, unsafe “soft target” scenarios, and potential health risks from close personal contact—Evolv Express captures information about visitor flow rates, alarm rates, and threat types.
Presented in its easy-to-use companion application, Evolv Insights, these analytics help venues augment the ways they safeguard physical security with evidence-based decisions across resourcing, planning, operations, staff training, and ConOps procedures.
This infographic demonstrates the real-world impact that data can have on physical security, including improved knowledge of vulnerabilities, enhanced security ConOps, accelerated reporting to venue leadership, and better experiences for both guests and security teams.
Evidence-based decision making results not only in improved security, but in always-improving security. It enables a constantly advancing, continuously learning approach that can lead to more proactive security and operations. With real-world data from every entryway, security teams can better adapt to new threats and better meet the changing needs of their venues—and their visitors.