Uploaded by Gale Vera Caceres

thesis topics (AutoRecovered)

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VIPROCER: Video Processing For Face Recognition and
Identification Using CCTV Camera
a Closed Circuit Television (CCTV) camera using video processing with LabVIEW as the
programming interface and mySQL as the database. At most, three persons are detected at
a time. The identity of the face, the time it was detected, and the time it left the viewing
scope of the camera are recorded in tabular form
IOT Garbage Monitoring System
This project IOT Garbage Monitoring system is a very innovative system which will help to keep the
cities clean. This system monitors the garbage bins and informs about the level of garbage collected
in the garbage bins via a web page. For this the system uses ultrasonic sensors placed over the bins
to detect the garbage level and compare it with the garbage bins depth. The system makes use of
AVR family microcontroller, LCD screen, Wifi modem for sending data and a buzzer. The system is
powered by a 12V transformer. The LCD screen is used to display the status of the level of garbage
collected in the bins. Whereas a web page is built to show the status to the user monitoring it. The
web page gives a graphical view of the garbage bins and highlights the garbage collected in color in
order to show the level of garbage collected. The LCD screen shows the status of the garbage level.
The system puts on the buzzer when the level of garbage collected crosses the set limit. Thus this
system helps to keep the city clean by informing about the garbage levels of the bins by providing
graphical image of the bins via IOT Gecko web development platform.
Mammogram of Breast Cancer detection Based using Image
Enhancement Algorithm
Principle objective of Image enhancement is to process an image so that result is more suitable than
original image for specific application. Digital image enhancement techniques provide a multitude of
choices for improving the visual quality of images. A frequency domain smoothingsharpening technique
is proposed and its impact is assessed to beneficially enhance mammogram images. This technique aims
to gain the advantages of enhance and sharpening process that aims to highlight sudden changes in the
image intensity, it is usually applied to remove random noise from digital images. The already developed
technique also eliminates the drawbacks of each of the two sharpening and smoothing techniques
resulting from their individual application in image processing field. The selection of parameters is
almost invariant of the type of background tissues and severity of the abnormality, giving significantly
improved results even for denser mammographic images. The proposed technique is tested breast X-ray
mammograms. The simulated results show that the high potential to advantageously enhance the image
contrast hence giving extra aid to radiologists to detect and classify mammograms of breast cancer
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