Computer vision: turning images into useful information
A camera image is not itself a decision. Computer vision processes images to answer a defined question; a useful application starts by specifying that question and its operating conditions.
Read articleYOLO object detection: from model to application
The YOLO family can locate defined object classes in images. A production application also needs consistent labels, decision rules and on-site testing, not just a model choice.
Read articleMachine learning: from data to a decision model
Machine learning learns a relationship from examples to predict new inputs. The first project question is which decision needs improvement and how to measure it, before choosing an algorithm.
Read articleEdge AI: running decisions close to the data
Edge AI runs AI processing on a device near the data source. Local execution does not mean the entire system works without connectivity or maintenance.
Read articlePlanning a vision application on NVIDIA Jetson
Jetson provides hardware and software components for local AI applications. Moving from a development-kit experiment to an operational system requires its own preparation and testing.
Read articleDefining latency in real-time detection
In a real-time vision application, a result must arrive within the time available for its decision. Frames per second alone do not describe that requirement.
Read articleDefining acceptance criteria for visual inspection
Visual inspection needs more than recognising a defective image. Product definitions, defect classes, decision tolerances and handling of uncertain cases must be developed together.
Read articleAI software: the system around the model
A trained model is only one part of an application. Data inputs, interfaces, failure behaviour, permissions and updates need a shared definition to form manageable software.
Read articleMeasurement and preprocessing in image analysis
Image analysis extracts useful results from properties such as colour, shape, texture and position. Understand how each transformation changes the measurement information in the image.
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