Wheelys unveils AI-based self-driving mobile retail store

Swedish retail startup Wheelys has unveiled a prototype for an autonomous, self-driving mobile store that uses artificial intelligence and computer vision to navigate city streets, according to a report by The Verge. Earlier this year, the startup launched its first Moby Mart test store in Shanghai carrying basic items like fresh food, sneakers and magazines. The current prototype is controlled by humans, however, the fully-realized mobile store will use AI and computer vision technologies to self-drive throughout urban and rural

Verificient to implement ID authentication/verification for online university students

Penn State and Verificient Technologies have partnered to develop the first of its kind, identity authentication and verification tool that will meet federal compliance standards for distance learners. Through the initiative, the technology will enable the university to verify whether a registered student who logs into an online course, performs individual assignments and completes the assessments is, in fact, the same student enrolled in the program. “The online education ecosystem continues to see a rise in sophisticated threats that can

FotoNation exhibiting, speaking at Embedded Vision Summit

FotoNation will demonstrate its hybrid computational imaging implementations for face/body detection and tracking and iris recognition at the upcoming Embedded Vision Summit, taking place next week at the Santa Clara Convention Center in California. In addition, Dr. Petronel Bigioi, FotoNation GM, will be a featured speaker at the show, delivering a presentation titled “Ultra-Efficient VPU: Low-Power Deep Learning, Computer Vision, and Computational Photography” on May 2. Dr. Bigioi will focus on how bringing intelligence to the edge enables local devices

Researchers improve method to detect faces in a crowd from small images

Researchers at Carnegie Mellon University have developed a method for detecting multiple faces in a crowd from small images with a greatly reduced error factor, according to a report in The Tartan. The process described in the Finding Tiny Faces report involves focusing a computer on specific pixels within a “massively-large receptor field,” in which 99 percent of the template examined is beyond the object of interest, and which provides the context to detect small objects. While most recognition approaches

NEC biometrics unit rebrands to address expanded solutions

NEC Corporation of America (NEC) has rebranded its biometrics division to NEC Advanced Recognition Systems to reflect its expanding market offerings. In a statement, the company says Advanced Recognition Systems’ main mission is “to serve citizens and the people who protect them.” The division will continue to target the government security market with its solutions by determining valuable patterns for solving crimes, reinforcing national security, and highlighting trends and efficiencies for tech-savvy businesses. Rather than simply collecting and reporting data,

Gait biometrics expert named Fellow of the National Academy of Inventors

Gait biometrics expert Sudeep Sarkar has been named a Fellow of the National Academy of Inventors (NAI). The NAI Fellows Program has 757 Fellows worldwide representing more than 229 universities and governmental and non-profit research institutions. Collectively, the Fellows hold more than 26,000 issued U.S. patents. Sudeep Sarkar, a professor of Computer Science and Engineering and associate Vice President for Research & Innovation at the University of South Florida (USF) in Tampa, is an expert in the area of gait

Sighthound cloud-based AI vehicle detection solution features facial recognition

Sighthound, Inc. released a new AI-based vehicle detection and recognition engine for its Sighthound Cloud API service, which can analyze an image and return the make, model, and color of the vehicle using its proprietary deeply learned computer vision algorithms. The vehicle recognizer complements an existing set of APIs that are currently available to developers through the Sighthound Cloud service including person, face, gender, age, and facial landmark detectors as well as the industry’s leading facial recognition API. “As the

Facebook picks up facial recognition startup FacioMetrics

Facebook has acquired facial recognition startup FacioMetrics for an undisclosed amount. Using facial image analysis to determine emotions, FacioMetrics is aimed at a range of sectors including gaming, healthcare, augmented reality, and robotics. FacioMetrics founder and CEO Fernando De la Torre said the company’s facial image analysis technology offers several applications including augmented/virtual reality, animation, and audience reaction measurement. According to a report by ZDNet, the technology was born out of Carnegie Mellon University regarding computer vision and machine learning

Anil Jain elected Foreign Fellow by Indian National Academy of Engineering

Biometrics expert Anil Jain, a University Distinguished Professor of computer science and engineering at Michigan State University, has been elected a Foreign Fellow of the Indian National Academy of Engineering (INAE) reports MSU Today. The INAE is an academy of distinguished engineers, engineer-scientists and technologists covering the entire spectrum of engineering disciplines, and functions as an apex body to promote and advance the practice of engineering and technology and the related sciences and disciplines in India and their application to

Researchers develop method to identify people even when faces are hidden

German researchers have developed a new method that identifies people even when the majority of their photos are untagged or obscured, according to a report by Motherboard. In a new paper, researchers at the Max Planck Institute in Saarbrücken demonstrate a method that takes into account previously-observed patterns related to a person’s head and body, to accurately identify the individual even when his or her face is blurred or completely hidden This “Faceless Recognition System” works by training a neural