Javacript Face API Offers Advanced Real Time Emotion Recognition

Javascript face API is advancing at a rapid pace, which can be seen in the work being done by MorphCast every day. 

With Javascript, real time emotion recognition and face recognition technology can interpret emotional and facial information from a digital source into numbers that can identify the emotions and face at a later date. 

Emotion recognition technology is growing rapidly as data science becomes more advanced. Other factors that are growing the impressive technology is the advancement of the Python programming language and the ability to collect large amounts of data. 



One of the most advanced facial recognition technology systems today is using Javascript in the MorphCast AI HTML.5 SDK. Some of the impressive features of this face recognition API are: 

• The technology is browser-based; all computing processes are performed with client-side Javascript that is 100% scalable. 

• Hyper-optimized footprint: The API uses less than 1 MB, so it has a fast loading speed that is sometimes 10 times faster than other companies. 

• GDPR compliant: All of the personal data of the user is processed on the client-side. The data is destroyed after that, so no biometric data is kept. 

• Simple integration: The only thing that is needed is to embed a snippet in the MTHL pages and monitor for an AI event. This product has a long list of tutorials, documentation, and FAQs so your team training should be easy. 

• Patented technology: This Javascript face API was developed for years and several patents have been granted. 

• References: This product has been validated by several independent academic researchers. 

In summary, MorphCast AI HTML.5 SDK can be used by many companies to enhance their business operations. From reading customers facial expressions to understand their wants, to conducting better HR interviews, to reading users’ moods with the power of simple words, the future is bright for real time facial and emotion recognition technology. 


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