Automatic Facial Expression Recognition

Automatic Facial Expression Recognition

Classifying facial expression from human faces in canned images.

Artificial Intelligence

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Description

Customer service is a large revenue stream for companies whose core business is based around the customer. Ensuring that the customer stays happy is key, for their success. An Automatic Human Emotion Detection (AHED) system can be applied in any environment that can benefit from understanding facial expressions. The proposed solution combines customer satisfaction with an automated system. Using face detection and facial feature extraction to identify the dominant customer emotion. The training and classification of the system will be done using Deep Learning. Companies can incorporate the results of the system in improving their customer service, ensuring that their customers stay satisfied.

Retshidisitswe L. added photos to project Automatic Facial Expression Recognition

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Automatic Facial Expression Recognition

Customer service is a large revenue stream for companies whose core business is based around the customer. Ensuring that the customer stays happy is key, for their success. An Automatic Human Emotion Detection (AHED) system can be applied in any environment that can benefit from understanding facial expressions. The proposed solution combines customer satisfaction with an automated system. Using face detection and facial feature extraction to identify the dominant customer emotion. The training and classification of the system will be done using Deep Learning. Companies can incorporate the results of the system in improving their customer service, ensuring that their customers stay satisfied.

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Retshidisitswe L. created project Automatic Facial Expression Recognition

Medium e5e9ea00 01f6 4cff a345 d5f4dcc2cdb0

Automatic Facial Expression Recognition

Customer service is a large revenue stream for companies whose core business is based around the customer. Ensuring that the customer stays happy is key, for their success. An Automatic Human Emotion Detection (AHED) system can be applied in any environment that can benefit from understanding facial expressions. The proposed solution combines customer satisfaction with an automated system. Using face detection and facial feature extraction to identify the dominant customer emotion. The training and classification of the system will be done using Deep Learning. Companies can incorporate the results of the system in improving their customer service, ensuring that their customers stay satisfied.

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