Artificial Intelligence in practice – my own system to detect and recognize stuff (goods) in real time. Notice that system recognises very good also parts of used things for tests e.g. part of people body etc. Very good for detecting deficiencies(a damage of goods) on the production line in factories. Solution bases on Deep Machine […]
Read MoreDeep Learning in practice – detection and recognising stuff (goods) in real time
Artificial Intelligence in practice – I wrote a program which on the basis of camera image analysis in real time recognises for instance – playing cats 🙂 It can be used with ease for other solutions – eg detecting intrusions, object monitoring etc. System without any problem recognises animals, things, people etc. Note that […]
Read MoreDeep Learning in practice – recognition bases on camera image analysis in real time
In face recognition problem I’ve used preprocessed data set of the “Labeled Faces in the Wild” (http://vis-www.cs.umass.edu/lfw/lfw-funneled.tgz). Our aim is expected results for the top 5 most represented people in the dataset and the algorithm should achieve convergence (values in support column should be the same or close to expected value) Total dataset size: Number […]
Read More[Artificial Intelligence in practice] Faces recognition: SVM classification model – part 1
Artificial Intelligence in practice: real-time human pose estimation using camcorder. Real-time detection a part of a person’s pose that is estimated, such as the nose, ears, shoulders, elbow, wrists, hips. Testing AI library soon will be the article..
Read MoreArtificial Intelligence in practice: real-time human pose estimation using camcorder
