We are comfortable with police, traffic and public safety CCTV cameras, right? Now surveillance systems run for commercial interests collect data about our everyday lives: from tracking pedestrian traffic, biometric scanning at ATMs, and facial recognition software in supermarkets and sports events, and much more.
Technological advancements in computer vision are pushing the boundaries of how machines understand videos and images. This talk focuses on privacy implications of modern and advancing surveillance systems, our perceptions of privacy and ways to protect those being observed. That’s you. I’m looking at you. Now.
Andrew Chen is a PhD Candidate in Electrical and Computer Engineering at the University of Auckland.
His research focuses on embedded vision, helping computers, namely robots and surveillance systems, ‘see and understand’ the world around them in real-time. In light of this, Andrew has a keen interest in surveillance and privacy implications, particularly how we can use technology to better protect privacy and avoid abuse by system owners.
Andrew also teaches digital systems and software design, and sits on investment committees for ReturnOnScience to identify and commercialise innovative, entrepreneurial ideas.