Featured Case Study
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.
Dec. 15, 2023
The JelloX Federated Learning Platform allows clinical data from multiple healthcare organizations to be used for collaborative AI model development while meeting regulatory requirements and maintaining patient privacy. The solution utilizes Intel® Geti™ software to overcome intense resource requirements for clinical workers to label the data and train vision models.
Dec. 18, 2023
Fatigue and other human limitations are a familiar impediment to the accuracy and efficiency of visual inspection on manufacturing lines. ASRock Industrial set out to overcome those challenges with an implementation of state-of-the-art AI Automated Optical Inspection (AOI) in production of printed circuit boards at its OEM factory...
Case Study
Feb. 2, 2023
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.
Nov. 28, 2022
With Intel Geti software, the DIOPSIS Consortium created an innovative AI-based insect monitoring method to better understand insect population declines and to help protect biodiversity.
May. 27, 2024
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.
Case Study
Oct. 24, 2022
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...
Dec. 20, 2022
Sensing Feeling uses Intel Geti software 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...
Dec. 1, 2022
Sensing Feeling, a solution provider based in the UK, is working on developing custom AI models of heavy equipment with Intel Geti software to increase workers' safety. The Sensing Feeling smart visual sensing platform provides edge-based analytics using the machine vision AI models built with Intel Geti software. The occupational-safety solution monitors the safety zones surrounding heavy equipment to identify unsafe proximity by personnel.
May. 27, 2024
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, Intel Geti AI software, and the Sensing Feeling software to transform video feeds into insights at the network edge that help cities meet environmental imperatives.
