“Semantic segmentation enables contextual analytics to achieve a holistic understanding of video footage in real-time.” – Dieter Joecker, CTO, Oosto
Modern enterprises need to transform raw video footage into operational insights in real-time by making sense of a scene and automatically detecting anomalies that require attention
NEW YORK, NY – November 17, 2022 – Oosto’s Chief Technology Officer and Chief AI Scientist presented a bold new vision for video analytics leveraging contextual scene understanding and semantic segmentation at this week’s ISC East, the International Security Conference & Exposition, in New York. In their presentation, Oosto laid out how the use of these new technologies can deliver real-time contextual analytics and more accurate alerts based on a more holistic understanding of a scene.
Historically, the AI in video analytics is usually single-threaded and purpose-built to perform a specific function (e.g., facial recognition, object detection, license plate recognition). This limits an organization’s ability to have a more complete understanding of a scene from video surveillance. This also means that the metadata is limited to the single use case, disconnected from the other algorithms, and unable to holistically make sense of a scene.
“Video analytics is still in its infancy. Today’s video analytics provide limited insights which can translate to poor and missed alarms,” according to Dieter Joecker, Oosto chief technology officer. “Wandering through ISC East and talking to enterprise customers and the partners who serve them, it’s clear that the world of physical security needs to move out of the dark ages and help organizations prevent incidents of violence and vandalism, or to minimize the damage immediately after.”
Joecker added, “Tomorrow, commercial enterprises will harness the power of contextual scene analysis – multithreaded AI – to deliver real-time contextual analytics and precision alerts based on a more holistic understanding of live video surveillance. For example, when someone falls down in a store, this could mean any number of things: Were they actually bending over to tie their shoes? Were they pushed by another person? Was it a staged ‘slip & fall’ to generate a fraudulent claim? Is the person having a legitimate medical emergency? How an organization responds in real-time is based on the timeliness and quality of the alert.”
“Leading Vision AI companies are starting to exploit the power of semantic segmentation and edge computing to deliver real-time contextual analytics and alerts to achieve a more holistic understanding of video footage,” added Professor Marios Savvides, Director of Carnegie Mellon University’s CyLab Biometrics Center and Oosto Chief AI Scientist. “We can also start to capture more metadata to gain greater context about what’s occurring in real-time and ensure that the right types of alerts are sent to the right personnel. Instead of relying on surveillance professionals to monitor video footage 24×7, security teams can use their skills to respond to very precise alerts. It’s not just about adding more algorithms. Leading companies are going to use the power of semantic scene understanding and edge computing to deliver real-time contextual analytics and alerts based on a more granular and complete understanding of a scene.”
The International Security Conference & Exposition, also known as ISC East, is the Northeast’s leading security & public safety event, hosted in collaboration with premier sponsor Security Industry Association (SIA). The show brings together security dealers, installers, integrators, and consultants, along with corporate, government and law enforcement/first responder practitioners, to share best practices and technologies designed to keep our communities safe and secure.
At the conference, Oosto presented its access control and watchlist alerting solutions based on facial recognition, which are used today by government organizations, airports, casinos, hospitals and many other entities to improve security and safety in physical spaces. In addition, Oosto’s leadership was invited to speak at the conference and present the future concept of AI-based video analysis.
For session details, please visit the ISC East website at https://www.isceast.com/en-us/seminars/sessions/session-details.2928.158222.the-rise-of-explainable-ai.html.
Leading organizations in the financial services, buildings, retail, health, sports, gaming, and other Fortune 500 companies are using Oosto’s leading Vision AI platform to positively impact safety, productivity, and customer experience. Oosto enables enterprises to better protect their customers, guests, and employees by identifying security and safety threats in real-time without compromising on fair and ethical use. Founded in 2015, Oosto operates globally through a network of offices and distributors and is backed by leading investors including Softbank Vision Fund, Eldridge, Qualcomm Ventures, and DFJ Growth. To learn more about how Oosto incorporates ethical AI and data privacy into its solutions and processes, please see: Why Trust Oosto.