Detect various anomalies of an object moving on a conveyor belt within a manufacturing facility and run analysis on what is detected.
Capture video, record the number of people present, and integrate the results showing aisle activity in a store, factory, or warehouse. The program can also create an output video and save snapshots.
Create projects using working examples and code samples for industrial automation solutions.
Predict maintenance and production issues by analyzing sensor data using machine learning methods.
Learn how to use the Hough Transform to detect lines and circles for converting a video stream of a gauge to digital data.
Develop industrial solutions that emulate human vision with the OpenVINO™ toolkit. Based on convolutional neural networks, the toolkit extends workloads across Intel® hardware and maximizes performance.
This SDK includes highly vectorized and threaded linear algebra, fast Fourier transforms, vector math, and statistics functions that increase application performance and reduce development time.