Introduction
Classification of Alerts from CCTV Footage
Monitoring live CCTV footage in public areas is essential for public safety and security. Accurately detecting actions such as swinging a knife, carrying high-threat objects, or exhibiting unusual behavior that threatens others is crucial for safeguarding these spaces.
Challenges in Classification of Alerts from CCTV
Shortcomings to Address in Current Public Security Systems.
Inability to Distinguish Suspicious Behaviour
CCTV’s ability to recognize suspicious behavior in public places is hindered by rare incidents and limited data models, affecting its effectiveness.
Low Accuracy Detection for Suspicious Items
Limited data models in machine learning reduce the accuracy of detecting suspicious items in public transportation, posing security risks
Intrusion into Personal Privacy
The use of extensive surveillance raises issues related to privacy and ethical use of data. This is critical for sectors where the usage of recorded footages are heavily concerned due to privacy right
Sigmawave’s Solutions
Sigmawave Introduces the Use of Artificial Intelligence (AI) to Bolster Security and Public Safety Applications
Benefits
Sigmawave’s Approach Yields Significant Benefits for Public Safety and Security
