Reference implementation of the APIs defined in ga4gh-schemas. RETIRED 2018-01-24
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Updated
Jan 24, 2018 - Python
Reference implementation of the APIs defined in ga4gh-schemas. RETIRED 2018-01-24
Use computer vision inference in the Intel® Distribution of OpenVINO™ toolkit to provide analytics on customer engagement, store traffic, and shelf inventory.
Observe workers as they pass in front of a camera to determine if they have adequate safety protection.
Python package for data.world
Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.
Monitor three different streams of video that count people inside and outside of a facility. This application also counts product inventory.
Monitor mechanical bolts as they move down a conveyor belt. When a bolt of an irregular size is detected, this solution emits an alert.
Build a solution to analyze customer expressions and reactions to product advertising collateral that is positioned on retail shelves.
Use a visual heat or motion map to count the number of people that enter and exit a store, factory, or warehouse aisle.
Detect various irregularities of a product as it moves along a conveyor belt.
Secure work areas and send alerts if someone enters the restricted space.
Implement and use Intel® hardware platforms for video decoding, encoding, and optimization using various media stacks.
CKAN extension for data.world
Our production-ready reference implementation for Django Projects
Segment brain tumors in raw MRI images by applying the U-Net architecture.
Find people who cross a virtual line and determine whether they are entering or exiting a store. Count the unique shoppers and then display the current store occupancy.
Build a solution that recognizes people within a specific area and measures the distance between them. Get an alert if the distance is less than a specified amount.
Development of the Gellish Communicator reference application and tools for universal data exchange and data integration supporting Formal English and other Gellish formalized natural languages.
Detect pneumonia in X-rays using computer vision inferencing and a pretrained model.
Apply the pretrained models in the Intel® Distribution of OpenVINO™ toolkit to detect and count the number of people waiting in lines in real time.
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