MorphCast

Audience analytics is important for content creators. It is also important for product developers and service providers. With the right data, you can measure the success of your content, products or services. This provides creators with the opportunity to determine the best way to meet their audience’s needs. They can create products or content and offer services that fill gaps or improve on what they already offer to meet their audience’s needs more completely. The Power of Facial Expression Analysis Face analysis is emerging as one of the most powerful tools in audience analysis. Unlike other data collection tools, facial expression analysis tools collect data in real time. Real time emotion recognition software therefore provides more accurate data. It is also free of bias that may occur during interactions between interviewers and respondents. This technology also makes it possible to collect data from a large sample size. Hundreds of thousands or even millions of customers c...

It sounds like science fiction, but it's not. An employer can now analyze a candidate's facial expressions and measure traits such as integrity, passion, etc. And now, thanks to technology, this process is automated. Recruiters are using emotional AI to determine a candidate's suitability for a particular role. How Does Facial Recognition Apply in Hiring? One upside about emotional AI in recruiting is that it goes against bias when selecting talent. Personality Screening Emotion recognition is quite effective during personality screening and helps measure nervous, interested, calm, or optimistic traits. The technology uses facial emotion recognition to measure facial expressions such as jaw or mouth movement and eye shifts to detect if a candidate is truthful in their responses during the interview. This recruitment method helps eliminate bias, allowing recruitment of top talent. Some of the renowned employers using this technology include Unilever, Dunkin Donuts, ...

For the longest time, recruiters spent countless hours going through resumes manually while sourcing candidates. Thanks to the advancement of technology, algorithms have taken over exercises such as screening potential candidates. It is also making soft skills assessment a breeze. Emotion Ai in Transforms Recruitment AI algorithms were previously used to pick candidates from job portals. But with the emergence of better technology, they are now used to analyze a candidate's responses during a virtual interview and determine if they are suited for a job. Emotion AI uses facial expression recognition to obtain insights from a candidate's non-verbal cues. Using it during the recruitment process helps assess a recruit's capabilities. The recruiter can ask questions that are not so obvious and analyze their expressions through emotion AI. Emotions such as anger, happiness, distraction and excitement are analyzed to determine the candidate's state of mind during the in...

Face recognition is perhaps the most well-known utilization of Artificial Intelligence. The utilization of Face recognition Javascript has expanded over the most recent few years. Face-api.js has brought a JavaScript API for face identification and face acknowledgment in the program executed on top of the tensorflow.js center API. In this instructional exercise, we will fabricate the face acknowledgment application that will work in the Browser. From the face, we will anticipate Emotion, Gender, and age.  Emotion acknowledgment is a method utilized in programming that permits a program to "read" the emotions on a human face utilizing progressed picture handling. Organizations have been exploring different avenues regarding joining refined calculations with picture handling strategies that have arisen in the previous ten years to see more about what a picture or a video of an individual's face enlightens us concerning how he or she is feeling and that as well as demonstra...