Case Study: University Campus Security

Video analytic technology allows continuous monitoring of an area and promptly can create alerts when it detects anomalies based on various parameters we’ve configured for each video stream. This can be effective for perimeter protection, wrong-way traffic (people or vehicles), and monitoring access to critical or highly secure rooms or doors.

One of the most appreciated advantages of camera analytics is its potential to reduce the data mining and analysis workload on security personnel. By automating routine tasks like continuous monitoring, camera analytics allows security personnel to focus on more critical tasks.

A practical, real-life scenario that utilizes both elements is a higher education university with large grounds to cover. One institution used camera edge analytics on terraces to identify people getting too close to the edge of the terrace. They also used a smart application with an audio warning message, guiding individuals to step back from the edge and preventing accidents while enhancing safety. The same technology was used in stairwells to detect leaning over or tripping in their stairwells.

The analytics’ goal was to provide a proactive means of alert and response to the security staff so they did not have to continuously monitor the terraces and stairs in a live control room environment.

Case Study: Utility Protection and Monitoring

One of the potential benefits of analytics is its ability to automate the detection of threats and responses. It detects potential issues, like intruders or unauthorized access, and quickly sends alerts or notifications. This ensures that security personnel and relevant authorities are promptly informed and can take appropriate action.

For example, many utility companies use analytics to monitor the camera streams on their perimeters to alert command center operators when a person climbs or crosses fencing around their substations.

When there are too many camera feeds to actively monitor from the human perspective, detecting this threat and capturing the information is the first step. The data can then be utilized for real-time response and in developing complementary security response plans.

Case Study: Airport Security

Many people are familiar with facial recognition as a security measure for identifying and verifying individuals. This does not only have to happen on an individual level. It can also identify the number of people in a room at any given time. This is more accurate and specific than simple heat mapping or perimeter tracking. Both aspects are useful tools for airport security, especially in highly sensitive areas.

Camera analytics can also be used for reading and recognizing vehicle license plates. This can be used both in security review, and before allowing vehicular access to secure areas. One way this is used is in security review, but it can also be used to verify vehicular access before allowing entrance.

Finally, airports can utilize object left-behind technology to vigilantly watch for unattended items or potential theft, enhancing security in public and restricted spaces. Like many other applications, it can be used strictly for monitoring or be connected to alarms or notifications.

Determining which technologies make sense for your specific use case depends on your goals, company structure, and existing systems. Utilizing specialists to help with your security planning process who are up-to-date on all the existing options will help you maximize your success.

These are only a few examples of how these systems can be integrated, and the possibilities will continue to grow.