Artificial Intelligence and Face Recognition for Body Cams

Body cameras are tools of great value and portability for those operators, security guards, police or patrols that seek to improve their security protocols in sites where the wearer wants to obtain a closer view of the environment. Helping to complement the perimeter or fixed cameras. For this and much, we will tell you what body cams are, how they work and how you can optimize them through a facial recognition system with Artificial Intelligence integrated into these devices for better security management thanks to video analytics applied to video.

What are Body Cameras?

Body Cams or Body Worn Camera are small mobile devices with an integrated battery that are used by guards in their uniform, in order to have a perspective of the operator’s view.

These have a robust and resistant construction that allows them to adapt to any situation that the person carrying this device is facing. In addition, they have the ability to connect via GPS to show the exact location of the camera.

Benefits of body cameras

The advantages that are obtained when using these portable recording devices are extensive due to their construction and functionalities that facilitate and complement the functions of the operators. Within these we find:

• Portability.
• Increased security of security officers and site assets.
• Robust, high-resistance devices.
• Better security management
• Support and visual record that complements the operator’s work.
• They improve the response to emergency situations.
• They provide a close perspective of the camera’s visible environment.

Intelligent Video Analytics for Body Cameras

Although these cameras offer a security bonus due to their portability, Artificial Intelligence applied to these devices will allow them to go further, supporting the surveillance work, helping the camera holder together with the monitoring center to detect and record of events in an optimal way, in operations where the human eye does not see easily. Making an analysis of the environment in situations where an agile reaction is needed.

Face Recognition for Body Worn Cameras

Alice es una plataforma inteligente de monitoreo, control de acceso y gestión del tráfico que posee poderosas video analíticas capaces de detectar, reconocer y clasificar: objetos, personas y eventos críticos en tiempo real.

This platform has a robust facial recognition system that helps carriers to recognize suspects or criminals in crowded places or cities where there is a lot of people traffic. Alice’s ability allows you to find faces in a database of more than 24,000 faces.

This means that one of the advantages of Alice’s biometric recognition system is that its functionality to perform forensic face searches by entering photographic evidence of the person. Ideal for situations where you have a photograph of the face of a possible suspect and you want to find the face detected by the body camera.

In the following video we show you how the Alice Guardian platform detects, recognizes and registers faces in real time; generating alerts with complete event information: date and time, detected image compared to the stored one, geographic location and short video.

Combination of perimeter cameras with Body Cams

One of the benefits of having centralized camera monitoring is its ability to view alerts from both perimeter cameras and mobile cameras. This allows to manage in the same site, cameras of different brands, type and geographical location. Allowing operators to visualize in a map view, where all the cameras are located.

Requirements to add facial recognition video analytics to a body camera

Alice is an agnostic monitoring platform, which means that it is capable of integrating with most camera models that have an internet connection with the ONVIF RTSP protocol, technology that current IP cameras have.

To achieve an optimally functioning facial recognition system, a camera with the possibility of connecting to the Internet is required, either via WiFi or via 4G, with storage capacity both locally, through SD memories, NVR, NAS, or on the cloud.

Also, your minimum recording resolution should be 1080p to more accurately detect faces.

How facial recognition analytics work on body worn cameras

This cameras use Internet connection to send all the video information to a data center with the ability to distribute this material to the servers in charge of performing the facial recognition analytics and generating the respective alert notifications to the user, both in the monitoring platform, such as the mobile application Alice App.

How to deploy a facial recognition system for my body camera system?

To begin with, an integration of the device to the Alice platform must be carried out through the RTSP protocol, similar to IP cameras. Next, the camera must be calibrated according to the needs of the environment, conditions and light factors. And finally, the configuration of the video analytics is established.

It is necessary to define if the solution will work in the cloud, on site or in a hybrid way. Establishing the characteristics of network architecture and servers according to the needs of the solution.

If you want to add a centralized facial recognition platform for body cams or any other intelligent video analytics, contact us or schedule a free consultation, we will help you find the best solution that suits your needs.