Samsung Medison’s NerveTrack™ is an innovative ultrasound feature used to identify nerve structures in real time during the application of anesthesia. Training of NerveTrack™’s deep learning inference models requires thousands of annotated ultrasound reference images. The image annotation process is best performed by doctors with years of medical training and experience in identifying the small, elusive nerve structures.
While computer vision and other forms of AI have the potential to transform a wide range of processes across many industries, it can be incredibly challenging to integrate these technologies into real-world applications. One of the more formidable roadblocks is developing internal expertise and equipping people with the hands-on skills to tackle complex data science tasks.
With the Intel Geti platform, the DIOPSIS Consortium created an innovative AI-based insect monitoring method to better understand insect population declines and to help protect biodiversity.
Samsung Medison’s NerveTrack™ is an innovative ultrasound feature used to identify nerve structures in real time during the application of anesthesia. Training of NerveTrack™’s deep learning inference models requires thousands of annotated ultrasound reference images. The image annotation process is best performed by doctors with years of medical training and experience in identifying the small, elusive nerve structures.
Helping farmers feed the world while regenerating the planet is the driving force behind Small Robot Co. Their vision is “per plant farming”: rather than treating a field of crops together as one entity, they treat each plant individually to reduce external inputs such as fertilizers, pesticides and herbicides. Machine learning and AI are a crucial part of the per plant farming process...
Sensing Feeling uses the Intel Geti platform to accelerate training of AI models for automated pedestrian sensing solutions at railway crossings.
Pedestrian incursions into railway crossings are a dramatic safety issue and point of liability for rail infrastructure operators. Automated sensing solutions that use computer vision (CV) to address these issues have been hampered by the low-quality images from decades-old...
Sensing Feeling, a solution provider based in the UK, is working on developing custom AI models of heavy equipment with the Intel Geti platform to increase workers' safety. The Sensing Feeling smart visual sensing platform provides edge-based analytics using the machine vision AI models built with the Intel Geti platform. The occupational-safety solution monitors the safety zones surrounding heavy equipment to identify unsafe proximity by personnel.
To mitigate climate change, local authorities can optimize their planning and operations with smart cities technology. In the UK, SSE Energy Solutions is developing AI-powered optical sensors based on Intel® architecture, the Intel Geti AI platform, and the Sensing Feeling software platform to transform video feeds into insights at the network edge that help cities meet environmental imperatives.
London-based hospital Royal Brompton used the Intel® Geti™ platform to translate their expertise into a machine learning inference algorithm that transforms their research.
IT consultancy Bravent developed an efficient, flexible AI-based computer vision solution to reduce human error in complex machinery assemblies, which can be scaled and adapted across a range of industries.
