Monitoring the mood of the crowd is considered essential to maintaining the right amount of security.
Identify suspicious persons of interest, prevent violent behaviour. Defend public safety
SenseSafe detects the crowd’s emotional temperature at facility entrances, exits and major check points providing an early alert to suspicious behavior.
When the algorithm detects a negative mood, security officers are warned to be ready to intervene quickly in case of a potential threat.
Studies show that most people experience a sense of guilt before they actually commit a crime.
It is usually impossible to mask this inner state and it reveals itself in facial expressions.
SenseSafe’s emotion-sensing algorithm is also useful in identifying the coalescence of aggressive groups and detecting the likelihood of abnormal behaviour.
Opsis ensures full compliance with the complex privacy laws of each country.
In deploying emotion AI recognition, we work together with the country’s official agencies and security departments.
The ability to detect and interpret emotions can be a crucial factor in protecting both the public and private assets.
Incorporating emotion recognition AI into automated surveillance cameras increases accuracy in identifying suspicious behaviour.
A deep understanding of human behavior is an essential element in control of emergencies. Emotion recognition AI makes it possible to analyze crowd behavior using semantic observation.
A major advantage of SenseSafe emotion recognition technology is that it is not physically intrusive.
Data concerning crowd engagement and mood is continuously collected without attracting unnecessary public attention. The result is real-time feedback for intervention.
SenseSafe’s emotion sensing AI algorithm can be trained using agency data bases.
