Security and Safety Things GmbH (S&ST) is pleased to announce the three winners of its 2021 App Challenge, a contest to spur creative development in video analytic applications. The winning apps were chosen from a pool of more than 30 proposals for solutions, which addressed specific security and business use cases, in the retail, transportation, stadiums and entertainment, and healthcare verticals.
S&ST's 2021 App Challenge
“The Security & Safety Things open platform for smart cameras provides the ideal framework for developers to help solve real world customer pain points with innovative applications,” said Adam Wynne, Head of the Security & Safety Things Innovation Accelerator, based in Pittsburgh, Pennsylvania.
The winners of this year’s App Challenge provided some very concrete and effective examples of how smart cameras are adding security and operational value to a variety of different types of organizations.
AI-powered analytic apps added to Application Store
As part of the App Challenge, 11 new AI-powered analytic apps have been loaded onto the company’s open Application Store
As part of the App Challenge, 11 new AI-powered analytic apps have been loaded onto the company’s open Application Store, which already features nearly 100 different applications. Integrators and end-users can choose multiple applications from the app store, to run simultaneously on individual smart cameras running the S&ST camera operating system, which enables a single camera to accomplish several different functions. The camera OS is based on the developer-friendly Android Open Source Project (AOSP).
Noema, a subsidiary of DSR Corporation based in Colorado, received the overall rating for its seat occupancy application to the transportation market. This application allows a surveillance camera to check seat availability and overall occupancy of a train car, as well as determine, whether the seat is occupied by a human or object.
Noema’s seat occupancy application
This application seeks to address pain points, such as a passenger taking up more than one seat, luggage or pets blocking seating areas, passengers sitting in the wrong seat or section, and passengers riding without fare. Each of these issues can impact both train departure, as well as overall revenue.
“Our engineering team enjoyed developing apps for the Security & Safety Things platform, as it enables our team to focus on the underlying business logic of the applications and algorithms that we’re developing, instead of addressing the lower-level engineering aspects that S&ST’s system already addresses for us,” said Alexander (Alex) Fedoseev, the Co-Chief Executive Officer (Co-CEO) at Noema.
FloodCam AI software
WaterView, based in Italy, received the second-highest rating for its FloodCam application, an Artificial Intelligence (AI) software used to monitor infrastructure or areas, which are subject to flooding episodes, such as road underpasses or areas close to riverbanks.
The FloodCam AI software recognizes portions of the images, where water is present and raises an alert
The FloodCam AI software recognizes portions of the images, where water is present and raises an alert if the estimated water coverage exceeds a certain threshold. To keep privacy in mind, the image taken can be masked, so that only a desired region of interest is taken into account.
“Taking part in the 2021 App Challenge hosted by Security & Safety Things was a stimulating and enjoyable experience,” said Matteo Ferrabone, the Chief Technology Officer (CTO) at WaterView, adding “We were very eager to launch our latest solutions on the market and the App Challenge served as the perfect opportunity and motivation.”
Virtual Surveillance Assistant (VSA) application
Studio Automated, based in Amsterdam, was the third winner for its Virtual Surveillance Assistant (VSA) application, an AI algorithm developed by The Netherlands Organization for Applied Scientific Research (TNO).
This application can detect anomalies in video footage and can specifically be trained to detect aggressive behavior, at stadiums and venues, and in transportation vehicles. Besides the detection of aggression, the footage analyzed by this app can also be used for the analysis of walkways and footpaths, as well as passenger behavior in general. This will allow decision-makers to optimize operations at airports, stadiums, bus stands and railway stations.
Winners chosen by S&ST's jury of representatives
“We are very grateful to have been able to participate in this challenge and to be chosen as a winner,” said Elle de Jonge, Strategic Advisor at Studio Automated, adding “The Security & Safety Things store has more functionalities that allow us as a partner to grow with, and our clients can use our AI driven assistance within minutes, which speeds up implementation and helps clients innovate faster.”
These winners were chosen by a jury of representatives from Security and Safety Things GmbH (S&ST) and 22 prominent integrators, from around the globe and will be awarded individual prizes in the form of cash funds.
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