Video Surveillance has gained importance across the world with changing society.Video Analytics play a very important role because it offers various applications like security, monitoring, and motion sensing. Video Analytics not only offers a view of what is happening, It also provides practical solutions to real-world problems that are often addressed with a group of entire data.
Video Analytics Applications –
Usually, these systems perform real-time monitoring within which objects, object attributes, movement patterns, or behavior associated with
the monitored environment are detected.
Object Detection is one such application that deals with detecting instances of semantic objects of a certain class (such as humans, building, cars, animals, etc ) .
It has the power to classify one or several objects with in an image/video at once .
For example – Figure 1 shows image with three objects – Potted plant, cup and a bottle .
How does Object detection work ?
The steps involved in object detection process are as follows –
1) The image is split into various regions.
2) Each region is taken into account as a separate image.
3) These regions are fed to a CNN(Convolutional Neural Network – a deep learning approach widely used for detecting objects) where they’re classified into various classes (Human, Pen, Bottle, Pot ,etc).
4) These regions are all combined to get the original image with detected objects.
Hard hat and Non-Hard hard helmet detection Use Case
A hard hat is a type of helmet predominantly used in workplace environments such as industrial or construction sites to protect the head from injury due to falling objects, impact with other objects, debris, rain, and electric shock.  Automatic Hard hat and Non-Hard hat detection technology plays a vital role. This system detects in real-time those workers and employees who are wearning helmets and not wearing helmets (violating workplace safety ).
Tools /Libraries Used.
Annotation/Labelling is a process that helps us to draw bounding boxes around the object of interest and give a label (Ex Dog, Cat, Person, etc). LabelImg is a graphical annotation tool written in python that helps us to perform annotation.
Figure 2 and 3 shows the detection of people wearing and not wearing helmets along with the confidence score.