FIDAL - Secmotic

FIDAL | SecurEye StreamSense: On-Demand AI for Real-Time Video Security

SecurEye StreamSense is set to transform public safety through AI-driven real-time video analytics. Powered by 5G technology, this innovative project enables instant detection and response to security incidents, enhancing emergency management in urban environments.

Project data

CUSTOMER

FIDAL

SECTOR

AI

GEOGRAPHY

National

YEAR

2023

The concept

The SecurEye StreamSense project, led by Secmotic, will be deployed at the University of Málaga (UMA) TestBed and select areas in central Málaga through a partnership with Telefónica.

This strategic trial will use compact units equipped with state-of-the-art 5G video cameras and modems to capture and transmit high-definition video data in real-time. This data will be processed and analyzed using the SecurEye Network App and the FIDAL consortium’s StreamSelector Network App, leveraging UMA’s advanced, secure infrastructure to ensure the integrity and reliability of the experiment.

The SecurEye project aims to revolutionize public safety and emergency response through AI-driven video analytics. An advanced system for on-demand selection and execution of AI models will be developed to apply to real-time video streams, automatically detecting and classifying various security incidents in real-time.

Benefits and expected results

Enhanced Public Safety: Quickly identifying potential threats to create a safer public environment.
Effective Emergency Response: Automated, real-time incident detection for faster and more effective response.
Optimized Resource Allocation: Better resource allocation through data-driven decision-making.

Target market

SecurEye targets both public and private sectors, including cities, municipalities, large private security firms, and emergency vehicle manufacturers. Its flexibility and scalability make it adaptable to various market segments, from small communities to large metropolitan areas.

Problems solved by the solution

Public Disturbances

Monitoring violent demonstrations and identifying escalation points.

Traffic Surveillance

Recognizing traffic accidents and disruptions in traffic flow.

Vandalism Detection

Identifying acts of vandalism against public property.

Medical Emergencies

Detecting individuals needing immediate medical assistance

Fire and Flood Detection

Early identification of fires and monitoring rising water levels in flood-prone areas.

Next challenges

Real-Time Processing of High-Volume Data: Developing a system capable of handling and processing large volumes of video data in real-time.
Accuracy and Reliability of AI Models: Ensuring the AI models accurately detect and classify incidents with minimal false positives.
Network Connectivity and Stability: Maintaining stable, high-speed connectivity in dense urban environments.
Scalability and Flexibility of Deployment: Designing a scalable and adaptable system architecture for various urban settings.
User Interface and Experience: Creating a user-friendly Progressive Web Application (PWA) for security personnel.
Data Privacy and Security: Implementing robust security measures to protect data privacy and comply with legal standards.
Integration with Existing Systems and Protocols: Ensuring seamless integration with existing public safety infrastructure and communication protocols.

Contact us to grow your organization or institution

If you are looking to implement a IoT solution or are interested in exploring how this technology can benefit your business, don’t hesitate to contact us!

Our team of expert is ready to collaborate with you and develop a customized solution that perfectly suits your needs and goals.

Other projects of interest