How Filters can be a useful tool in Finding Person of Interest?

June 7, 2023


In today's world, where surveillance cameras have become a ubiquitous presence, the task of searching for a person of interest in lengthy video footage can be both tedious and time-consuming. Traditional methods of manually reviewing hours of CCTV footage in a control room are often seen as monotonous and overwhelming, leading to inefficiencies and missed opportunities. However, with the advent of Direct-to-Cloud AI cameras and advanced data management systems, we now have a powerful tool in the palm of our hands – filters. In this blog, we will explore the importance of using filters when searching for a person of interest, revolutionizing the way we extract critical information from surveillance videos.

1. Eliminating the Mundane

Reviewing hours of video footage from multiple cameras can be an arduous task, making it prone to human error and oversight. The process becomes even more challenging when searching for a specific person in a large compound or multiple locations. By leveraging filters, we can transform this mundane task into a streamlined and efficient process. Filters allow users to narrow down their search parameters, significantly reducing the time and effort required for manual review.

For example, imagine a scenario where an incident occurs within a compound with six cameras deployed. Without any prior information on the point of entry for the intruder, it would be time-consuming to review each camera's footage individually. However, by utilizing filters, the user can start by filtering the footage based on the date and time of the incident, gradually narrowing down the search scope.

2. Tailored Filters for Accurate Identification 

Filters empower users to customize their search based on specific criteria such as person tags, gender, clothing description, or even facial recognition. By applying these filters, investigators can focus their attention on the relevant portions of the video footage, significantly reducing the scope for human review. This targeted approach enables quick identification of the person of interest and expedites the investigation process.

Continuing with the previous example, after filtering the footage by date and time, the user can further narrow down the search by applying filters based on person tags or gender. By doing so, they can quickly identify any suspicious individuals present in the compound during the incident.

3. Minimizing Human Review and Maximizing Efficiency

The integration of filters with cloud-based data management and storage systems empowers users to search across all cameras simultaneously. This eliminates the need to review each camera's footage individually, saving valuable time and resources. With the ability to filter by specific cameras, investigators can effectively pinpoint the location and movements of the person of interest, optimizing the investigation process.

By properly utilizing filters, the scope for human review of videos can be minimized to a great extent. Investigators can focus their attention on the filtered segments, ensuring thorough scrutiny of the most relevant portions without being overwhelmed by unnecessary footage.


The implementation of filters in the search for a person of interest revolutionizes forensic investigations. By leveraging the capabilities of Direct-to-Cloud AI cameras and advanced data management systems, filters empower users to extract critical information efficiently. The ability to filter by date, time, tags, and specific cameras enhances accuracy, streamlines the investigative process, and minimizes the scope for human error and boredom. As we continue to harness the power of filters, we pave the way for faster and more effective person of interest detection, ultimately leading to safer and more secure environments.

Added to cart
- There was an error adding to cart. Please try again.
Quantity updated
- An error occurred. Please try again later.
Deleted from cart
- Can't delete this product from the cart at the moment. Please try again later.