By submitting this form, you are agreeing to the Terms of Use and Privacy Policy.
A network of surveillance cameras has been established around the city to improve public safety. These cameras make it possible to examine how both people and objects behave. Multimodal aggressive behavior is innate. These cameras’ microphones are not able to detect speech in noisy settings or if the speaker is too far away.
Under some circumstances, it is possible to record and decipher a spoken mouth’s lip motions. Large-scale lip-reading should be achievable in the future based on current developments in artificial intelligence.
In this article, we discuss the current state of Dutch lipreading technology. We offer a prototype that Delft University of Technology created. The Active Appearance model and Hidden Markov models serve as the model’s foundation.
The outcomes of lip-reading experiments will also be shown. The technique has been effectively used on trains to identify violent behavior toward people and property.
The Global Lip Reading Camera market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
The first automated Lip Reader in the world has been commercially launched by Belfast-based technology company Liopa. The service will first be used to stop’spoofing’ in facial recognition systems where a compromise could occur from fake photographs or videos of the individual being presented.
Several Facial Recognition businesses are now conducting commercial trials of the first application, LipSecure. The technique used by Liopa is based on Visual Speech Recognition, which analyzes lip movements to determine what a speaker is saying.
It is compatible with any device that has a standard camera and makes use of cutting-edge AI-based algorithms. the technology for a few use cases, including voice-activated ATMs, kiosks, and factory automation.
According to Hanson, Visual Speech Enablement is best used on PCs, but consumer-facing versions of the feature may eventually appear on mobile technology.
When questioned about the potential helpful applications of this technology—like enhancing automatically generated captions, removing the requirement for a relay operator or automated speech-recognition intermediary that necessitates a reliable data connection and minimum background noise, etc.
