Human-centric
AI Computer Vision
Protect access to your workplace with facial security
BFS
BFS
3D body (skeletal) tracking middleware
Edge AI hardware
for face and body tracking
Facial recognition platform for video processing
Advanced face liveness detection for digital onboarding and KYC
BAF
BAF
BAF
Scalable fasial recognition API for on-pream or AWS cloud deployment
Facial and body recognition library for server, mobile and embedded solutions
3DiVi Inc., founded in 2011, is one of the leading developers of AI and machine learning (ML) technologies for computer vision.
3DiVi News

Recognition of Gender, Age, Emotions and Other Facial Attributes on Images and Video

Facial recognition technology has come a long way since its inception. From identifying individuals to recognizing their gender, age, and emotions, the technology has evolved considerably over the years. One of the most popular tools used for this purpose is the 3DiVi Face SDK, which offers a wide range of features for facial recognition.
The 3DiVi Face SDK includes a set of tools specifically designed for estimating images of faces received from the Face Detector component. One of the most commonly used tools is the Gender-Age Estimator, which is used for estimating the gender and age of people by using their face images. This tool can accurately determine the gender of an individual with 95% accuracy, making it a reliable option for identifying individuals in a variety of settings.
The Age Estimator is another powerful tool included in the 3DiVi Face SDK. This tool estimates the age of an individual by analyzing their face image, with an error rate of +/-4 years. While this may not seem like a significant error, it's important to keep in mind that age estimation is a complex process that can be affected by a variety of factors, including lighting, facial expressions, and facial hair.
In addition to gender and age estimation, the 3DiVi Face SDK also includes an Emotions Estimator, which is used for estimating the prevailing emotional state of a person. This tool can determine whether an individual is happy, surprised, neutral, angry, disgusted, sad, or scared, with an accuracy rate of 80%. This can be particularly useful in a variety of settings, including marketing, customer service, and security.
Overall, the 3DiVi Face SDK is a powerful tool for facial recognition that provides accurate estimates of gender, age, and emotions. While there may be some variability in the results due to a variety of factors, the overall accuracy of the tool makes it a valuable asset in a variety of settings. Whether you're looking to identify individuals in a security setting or determine the emotional state of customers in a marketing setting, the 3DiVi Face SDK is an excellent choice for your facial recognition needs.
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