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Oosto Vision AI platform provides predictive analytics for safety and security applications

Oosto announced a move to extend the company’s Vision AI platform into embedded solutions beyond the edge to include edge-to-cloud solutions. The company’s advance to cloud and large-scale distributed solutions is made possible by optimizing Oosto’s Vision AI technology for high performance at the edge and creating a new multi-class Vision AI offering combining face and body detection, action, and behavior attributes. Oosto sees tremendous growth potential via large-scale, distributed cloud or mixed-environment solutions to rapidly grow the company’s global footprint in the security sector and beyond, including manufacturing and logistics, safe cities, schools, healthcare and elder care facilities, transportation, and more.


The move marks a milestone in Oosto’s evolution, taking the Vision AI platform to the next level where face and body become one for multi-camera tracking, and new capabilities such as pose and movement are made possible via skeletal modeling.


Oosto works with the key market players in the AI in Computer Vision markets such as NVIDIA Corporation, Intel Corporation, Microsoft, Ambarella, and Qualcomm Technologies. Oosto has recently joined forces with machine learning and edge disrupter, Sima AI, to focus on advancement in multi-camera tracking.


Move to cloud and beyond


Oosto uniquely combined face, body, liveness, pose/action, and multi-camera tracking and packaged them into a software development kit (SDK) that helps organizations solve consequential complex security, operations, and safety challenges efficiently and accurately with options to deploy at the edge or near edge and through edge-to-cloud, where the SDK provides rich data for mission-critical use cases.


Oosto’s neural networks run on smart cameras, adding GPUs with smaller near-edge devices, and now, delivering metadata captured via video analysis to the cloud. New use cases made available include skeletal modeling, anomaly detection, time series tracking, behavior analysis, and pattern tracking; meeting the need for distributed security, surveillance, and safety applications visible through a single pane of glass.


In manufacturing, warehouse, and healthcare environments, the SDK enables applications for detecting required personal protective equipment (PPE) before granting access to a space or equipment or verifying the proper and safe execution of tasks. These use cases ensure safety and support compliance, resulting in reduced workplace risk and lower insurance premiums.


For elder care facilities and nursing homes, the SDK can be deployed at the edge in cameras and used to remotely monitor the safety of at-risk residents such as dementia and Alzheimer patients through cloud applications. It can also be used to detect and alert on falls.




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