Using Camera Data Effectively Without Facial Recognition - insideBIGDATA

Expanded use of privacy-invasive facial recognition technology is a hot-button issue. But there are solutions that can preserve and improve the value of cameras in the enterprise without the drawbacks of privacy-invasive facial recognition. Escalating push-back against facial recognition technology that is perceived as privacy-violating, inaccurate and biased, has sparked a search for solutions to this question: Can camera data be used effectively without facial recognition? For example, Sixgill, LLC, a leader in data automation and authenticity for Internet of Everything (IoE) applications, announced just such a solution that preserves and improves the value of cameras in the enterprise without the liabilities of privacy-violating facial recognition. Sense Vision – a newly launched capability in Sixgill's foundational product, Sense – delivers real-time video data automation, assisted by machine learning (ML).