Smart security network using CCTV cameras and autonomous AI

• Grant number: 24/10333-1
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE
• Start date: February 01, 2025
• End date: January 31, 2027
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Agreement: SEBRAE-SP
• Principal Investigator: Rafael Mira de Oliveira Libardi
• Grantee: Rafael Mira de Oliveira Libardi
• Company: Noleak Tecnologia da Informação Ltda
• CNAE: Desenvolvimento e licenciamento de programas de computador customizáveis ; Consultoria em tecnologia da informação
• Principal investigators: Dyonnatan Ferreira Maia ; Nicolau Elias Pena Ramalho
• Associated research grant(s): 24/23405-0 - Smart security network using CCTV cameras and autonomous AI, AP.PIPE
• Associated scholarship(s): 25/07776-1 - QA Squad - Fellow A (Test and Quality Evaluation), BP.TT

Abstract

The present proposal has the strategic objective of adapting, improving and scaling a solution for the analysis of human behavior and anomalies previously built and in pilot operation in cameras and electronic security devices so that the real-time information and learning of each camera and device is able to aggregate to create a unique asset safety net. This network will unite street cameras/devices and correlate events on different devices, integrating with public or private databases to generate a real-time risk score for each location and prioritize the sending of real-time alerts to the centrals. public and private monitoring. These features, combined with our proprietary technology for recognizing people by behavior and body movement, will bring a global competitive edge when working with lower resolution cameras and identifying risky actions and behaviors. (AU)