Currently,Emotion recognition technologyIt has been widely used inSecurity check field.According to technology mediaWIREDAccording to reports, cameras at train stations in the UK are currently using Amazon's emotion detection system to monitor the situation inside the stations. Once individuals with abnormal emotions are identified, the staff will be notified for further investigation.

Emotion recognition technology, also known as sentiment analysis or emotion recognition, is an artificial intelligence technology. It automatically recognizes and classifies human emotional states by analyzing various forms of information such as text, speech, and images expressed by humans. This technology is based on the development of multiple fields such as deep learning, computer vision, and natural language processing, and achieves accurate recognition of human emotions by constructing complex algorithm models.Widely used in human-computer interactionsocial networksThemedical careTheeducationTheentertainmentAnd in the field of security.

British train stations and cameras

In addition,Emotion recognition technologyofautomatic recognition abilityReduce the need for manual intervention，This can not only reduce the labor cost of customer service for enterprises, but also improve service efficiency, enabling enterprises to invest more resources into core business.

In the field of security checks, emotion recognition technology mainly captures non physiological signals such as facial expressions, voice tones, and body posture of passengers through sensors such as cameras, or uses physiological signals such as EEG signals, eye movement data, and ECG signals for emotion recognition. These signals undergo preprocessing, feature extraction, and classification recognition steps to ultimately determine the emotional state of passengers.

Compared to other facial recognition technologies,Emotion recognition technologyA more unique advantage is thatBeing able to detect and avoid potential public safety incidents in advance without infringing on personal privacy，Suitable for areas that are difficult to cover with traditional security checks.This is also what it can doEuropean countries with strict protection of personal privacy data have landedThe important reason.

The application of facial recognition technology in public places in Europe has gone throughFrom comprehensive ban to gradual easingA significant process of change.As stated in the 'Right to Privacy', privacy is“The right not to be disturbed”. comparison“Strong recognizability”Facial recognition,Public placesAIEmotion detection does not disturb the public or involve personal privacy information before the crisis is exposed. In other words, it cannot uniquely identify and authenticate natural persons based on their emotions, and will not know their surname or identity. This greatly reduces the public's sense of being monitored.

Amazon facial recognition technology adds fear and age detection functions

at presentbritaintrainThe emotion detection system used by the website is one that Amazon has been exploring for many years in fields such as e-commerce, healthcare, public safety, and marketingRekognitionsystem，AmazonRekognitionThe system is based onAIA facial recognition system utilizing technology that can utilizeAIThe camera scans the passenger's face for a series of analyses and predictions, including age, gender, and emotion recognition.It can identify various emotions including happiness, sadness, anger, surprise, disgust, calmness, and confusion,two thousand and twenty-threeAfter the annual iteration, it can still be recognized“fear”And age.In public places such as train stations, by monitoring passengers' facial features and emotional states in real-time, the system can promptly detect potential safety threats or abnormal situations and notify staff to intervene. This is of great significance for preventing public safety incidents such as terrorist attacks and violent incidents.

With the continuous development of artificial intelligence technology and the growth of social demand, the application prospects of emotion recognition technology in the field of security check are broad. In the future, with the construction of high-quality datasets, the reduction of computing power costs, the improvement of privacy protection technologies, and the enhancement of model interpretability, emotion recognition technology is expected to play a more important role in the field of public safety. Meanwhile, cross disciplinary cooperation and technological integration will also bring new opportunities and challenges to the development of emotion recognition technology.