MindBio Therapeutics Corp. (CSE: MBIO) (OTCQB: MBQIF) has announced the completion and delivery of its first Edge AI Intoxication and Fatigue Detection Kiosk prototypes, marking a significant step in commercializing voice-based impairment detection technology for workplace safety. The kiosks utilize artificial intelligence to analyze short voice samples for more than 140 acoustic markers associated with potential alcohol, drug, or fatigue-related impairment, with models trained on over 50 million data points.
The prototypes are now entering testing, validation, and data-analysis phases involving industry participants, speech specialists, and software engineers as the company works to refine its predictive models and assess real-world performance. This development is particularly important for safety-sensitive industries such as mining, aviation, construction, transportation, and law enforcement, where large workforces and operational risks can make conventional breath, saliva, urine, and laboratory testing costly and time-consuming.
MindBio's approach is designed to provide rapid, scalable, and less invasive initial screening. Individuals flagged for potential impairment can undergo additional evaluation using established testing protocols. The company's AI prediction model uses over 50 million data points to predict alcohol intoxication with remarkable accuracy, just by using the human voice, as detailed in the full article at https://ibn.fm/R2OqM.
MindBio Therapeutics is a biotechnology company commercializing AI prediction technologies for drug and alcohol intoxication detection via voice analysis. The company is developing an enterprise platform including Edge-AI kiosks integrating bespoke hardware and software for detection of drug and alcohol intoxication using the human voice and AI in a range of enterprise environments. For more information, visit the company's website at www.MindBioTherapeutics.com.
The latest news and updates relating to MBQIF are available in the company's newsroom at https://ibn.fm/MBQIF.
