Tag: Detection

Prior to leaving home for college, I spent a summer working as a software engineering intern at Omya, an industrial company that produces calcium carbonate, a chemical commonly found in toothpaste, tissue paper, and paint. Omya’s entire plant was orchestrated and managed by a custom-written fa...

Online fraud is an ever-growing issue for finance, e-commerce and other related industries. In response to this threat, organizations use fraud detection mechanisms based on machine learning and behavioral analytics. These technologies enable the detection of unusual patterns, abnormal behaviors, an...

Ah, change detection — the “magic” that makes Angular applications tick, literally. For those unfamiliar with the term, it is the process through which Angular detects changes. (duh) You know… checking to see whether the application state has changed, and if any D...

Our innate ability to recognize patters allows us to use this skill in filling-in gaps or predicting what is going to happen next. Occasionally, however, something happens that does not fit our expectation and does not fall into our perception of a pattern. We call such occurrences anomalies. If we ...

Ever wondered how computers can analyze images, identifying and localizing objects within them? That’s exactly what object detection accomplishes in the world of computer vision. DEtection TRansformer (DETR) and You Only Look Once (YOLO) are the two prominent approaches for...

Our innate ability to recognize patters allows us to use this skill in filling-in gaps or predicting what is going to happen next. Occasionally, however, something happens that does not fit our expectation and does not fall into our perception of a pattern. We call such occurrences anomalies. If we ...

I was going through OWASP MASTG for Android/iOS pentesting techniques. For learning Android/iOS pentesting, one can refer to this e-book. While reading, I came up with debug techniques to bypass root detection or modify the hidden variables. What is Debugging and how it helps in securit...

 reading several articles I found that , each of these preprocessing steps are data set dependent. Lane lines are always yellow and white. Yellow can be a tricky color to isolate in RGB space, so lets convert instead to Hue Value Saturation or HSV color space. You can find a target...

Welcome back to the second and final edition of our exploration into the fascinating world of self-driving cars, namely in Lane Detection. If you missed the first part of this journey, don’t worry, you can catch up right here: Self Driving Cars — Lane Detection In the initial par...

A class of objects such as a vehicle vary so much in color. Structural cues like shape give a more robust representation. Gradients of specific directions captures some notion of shape. To allow for some variability in shape, we’ll use features known as Histogram of Oriented Gradients (HOG). ...

We use DUC (Dense upsampling convulution ) which is a CNN based model for semantic segmentation which uses an image classification network (ResNet) as a backend and achieves improved accuracy in terms of mIOU score using two novel techniques. The first technique is called Dense Upsampling Convolutio...

Instance segmentation is extensively found in applications of medical imaging, object detection and many computer vision applications. One such application is this project where vehicles or different object surrounding the car are detected and identified which belong to a particular class. This p...

Cancer is a nasty word that all of us would never want to get one day. Neither would we want to wish it on anyone. It is a very depressing and sobering thought to either have cancer or know of a close friend/family member who has cancer. We rejoice with them, though, when the medical tests sho...

Detection of Radioactivity Radioactive decay processes generate high energy particles such as alpha-particles, beta-particles, and gamma-rays. These particles can produce ions when traveling through matter. A geiger counter takes advantage of this… ...

The muse dataset from the MindBigData EEG database is being used here for the training. The dataset being used contains 163,932 brain signals of 2 seconds each, captured with the stimulus of seeing a digit (from 0 to 9) and thinking about it, from a single Test Subject&...