CAMeL: A Self-Adaptive Framework for Enriching Context-Aware Middlewares with Machine Learning Capabilities

Listing 2

iPOJO module able to detect faces in images consumed from an SEDA queue.

(1)	public class HumanBodyProcessor implements Processor {
(2)	private CvHaarClassifierCascade classifier = new CvHaarClassifierCascade (cvLoad (“body.xml”));
(3)	public void process (Exchange exchange) throws Exception {
(4)	//getting image raw data
(5)	ImageData imageData = exchange.getIn ().getBody (ImageData.class);
(6)	//… rgb to gray conversion
(7)	//classification of bodies in the image via OpenCV API
(8)	CvSeq bodies = cvHaarDetectObjects (grayImage, classifier, storage, 1.1, 10);
(9)	int total = bodies ();
(10)	LabelData labelData = new LabelData (“body”, total);
(11)	//send classification label to the awareness layer
(12)	producer.sendBody (“seda:label”, labelData);
(13)	}
(14)	}