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CerebrumEdge was named a top-three finalist at NSC’s MSD Safety Innovation Challenge and demonstrated ErgoEdge—an AI ergonomics platform that supports open and custom standards and includes psychosocial and environmental risk factors—cutting analysis time by up to 90%.
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The law applies to employers operating warehouses where workers are involved in manual materials handling tasks. These facilities are required to...
Musculoskeletal disorders (MSDs) are common workplace injuries often associated with prolonged static postures. These static postures place excessive...
The Department of Labor developed "Artificial Intelligence and Worker Well-being: Principles for Developers and Employers" to provide AI developers...
ErgoEdge received innovation award in PREMUS-2023 (Prevention of Musculoskeletal Disorders) scientific conference.
Research has shown that the NIOSH lifting equation is effective in predicting the risk of low back injury for a wide range of lifting tasks. It is...
CerebrumEdge presented final solution on Digital Ergonomics at Electrolux Open Innovation Demo Day. AI powered Mobile app for real-time risk...
Comparing the effectiveness of Machine vision algorithm (ErgoEdge) with Microsoft Azure Kinect depth camera and Ergonomics expert
Modeling accurate 3-D human mesh from the regular video is key for estimating Ergonomics risk assessment.
MSDs are common amongst workers with up-to 58% in EU reportedly suffering from it according to report published by EU-OSHA.
SafetyEdge transforms the regular CCTV cameras at work zone into a safety assistant. SafetyEdge is a very scalable AI and Computer Vision solution...
ErgoEdge is best in class technology solution to accurately estimate the risk of Musculoskeletal injuries (MSDs). The solution provides real-time and...
The Open Innovation team at Electrolux has chosen CerebrumEdge to help develop cutting-edge solutions for Digital Ergonomics.
We are excited to announce our research partnership with Università degli Studi di Modena e Reggio Emilia ("UNIMORE"). CerebrumEdge and Department of...
Problem: GPU card is not accessible in Linux desktop/laptop/server. The graphics card of a computer might stop working for multiple reasons. - Driver...
Deep learning applications don't necessarily need GPU (graphics card), however it enhances the speed many times in compute-intensive functions. GPUs...
Goal: Compile OpenCV 3.X using CUDA and FFMpeg to accelerate Deep Learning applications consisting image/video processing
Protobuf is used to describe the data structure in a .proto file. Protocol buffer compiler creates a class that implements automatic encoding and...