Consensus – How To Detect Data Poisoning with Active Learning
Active Learning is primarily about reducing the amount of data required to train an AI model. To do this, an AI model is used to specifically select the data [...]
How to create a high-quality data set for anomaly detection?
A major advantage of anomaly detection models is that they are trained exclusively with images that represent the ideal appearance of an object. This means that only images of [...]
Optimizing Construction Logistics with Real-Time AI Solutions: Vehicle Detection, Load Estimation, and Drive Direction
Logistics always strives to deliver operational excellence and customer satisfaction. In the context of construction sites, logistics refers to the efficient coordination and management of various resources, materials, equipment, and [...]
Learning – How does a ToF Sensor Work?
Time-of-Flight (ToF) sensors are a fascinating technology that has found applications in various fields when it comes to measuring tasks. In this blog post, we will explore the inner [...]
Navigating Performance Metrics: Example from Crack Detection Assessment
When I sell our visual quality inspection systems, I am often asked at a very early stage of the project how accurate the defect detection is. Typically, we need [...]
Learning – How does a line scan camera work?
The line scan camera is a type of camera that has only one line of pixels. In contrast, regular cameras have a two-dimensional sensor, which exposes several lines simultaneously. [...]