2019
DOI: 10.11591/ijeecs.v15.i3.pp1241-1249
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Detection of foreign objects in milk using an ultrasonic system

Abstract: <span>This paper presents the utilization of an ultrasonic sensing system to detect foreign objects in milk. The advantage of an ultrasonic system is that it is low cost and it can detect a wide range of materials. A f<span>oreign body is any contaminated object found in food. </span>Because of the scale of multifarious food processing levels and distribution, the utilization of the food product are sometimes difficult to control, which will inevitably lead to some complaints by consumers. Mi… Show more

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Cited by 3 publications
(3 citation statements)
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“…The comparison between manual and automated detection methods is mentioned in Table 2. Automated FOD detection system can perform 24/7 inspection and detection, avoiding flight delays and runway closures, with clear visibility even at night time and the ability to operate in all weather conditions [11]. Automated detection techniques can be classified into four categories, namely the ultrasonic sensors, camera detection, radar detection and hybrid detection methods, as shown in Figure 1.…”
Section: Automated Detection Methodsmentioning
confidence: 99%
“…The comparison between manual and automated detection methods is mentioned in Table 2. Automated FOD detection system can perform 24/7 inspection and detection, avoiding flight delays and runway closures, with clear visibility even at night time and the ability to operate in all weather conditions [11]. Automated detection techniques can be classified into four categories, namely the ultrasonic sensors, camera detection, radar detection and hybrid detection methods, as shown in Figure 1.…”
Section: Automated Detection Methodsmentioning
confidence: 99%
“…For the examples of automatic foreign object detection, Image processing method [2], X-ray analysis [3], Hyperspectral imaging [4], Ultrasonic wave processing [5] are well applied. For image processing case, stone, metal piece in grain are detected by 94 [%] [6].…”
Section: Related Workmentioning
confidence: 99%
“…The field of computer vision has grown rapidly with the development of deep learning techniques. It has reached the level that can recognize various objects from the image with high accuracy [1][2][3][4][5][6]. However, it is still hard to measuring the distance between the camera and objects.…”
Section: Introductionmentioning
confidence: 99%