Opsis emotion AI can be integrated as another layer in security systems to improve the accuracy of big data analytics in public safety and security

With the aim of ‘technology for good’, emotion AI technology can be used to better serving people by monitoring for their public safety and assets protection, helping in enforcing law and order in society. 

 

Opsis emotion AI can be integrated as another layer in security systems to improve the accuracy of big data analytics for use cases such as homeland security and cross-border control. It can be used by government and private enterprises to help monitor public safety when large crowds congregate in public places, commercial venues and public events. Monitoring the mood of the crowd helps to direct the right amount of security to various locations and activities. A deep understanding of human behaviour is an essential element in control of emergencies. Our emotion recognition AI makes it possible to analyze crowd behaviour using semantic observation. When our algorithm detects a negative mood, security officers are warned to be ready to intervene quickly in case of a potential threat.

 

Our emotion data analytics supports pattern recognition and anomaly identification which can help public safety organizations and security officers identify suspicious persons of interest. Criminal decision making under conditions of uncertainty is often guided by the individual’s emotional process, individual risk and protective factors. Detecting the individual’s affective state such as heightened emotional arousal can alert security personnel to the likelihood of an aggressive behavioural response to an emotionally charged situation.

 

Our solution can be integrated with various CCTV surveillance systems in public and private places to help improve the response times to crimes.

Cross-border Control

  • Help to increase accuracy in identifying suspicious persons of interest (emotions such as anxiety, fear, guilt)
  • Detect individual’s affective state such as heightened emotional arousal to warn of likelihood of an aggressive behavioural response to an emotionally charged situation.
  • Detect the crowd’s emotional temperature at facility entrances and major check points providing an early alert to suspicious behaviour

Security in public/private places

  • Detect the coalescence of aggressive groups/emotional hot spots and provide an early warning of the likelihood of violent behaviour
  • Monitor the mood of the crowd to help direct the right amount of security to various locations and activities, direct “hot spots policing”
  • Identify possible scenarios for risk management and mitigation
  • Improve response times to crimes