Madhan Kumar Selvaraj's blog

Presenting by Madhan Kumar Selvaraj In this blog, we are going to see some interesting stuff related to detection. Globally there are around 25 million CCTV cameras in the house. Sadly, for every 3 minutes robbery, theft and burglary are happening. Real-world issue Even though we have access to live streaming CCTV video footage through the internet. But most of the time we failed to check the video footage at the time of the robbery. So, there is a need for a smart alert system. One-liner of the project Detecting the human subject other than the family members through the CCTV footage and alerting the house owner through the mail. Technologies used here OpenCV computer vision Facenet CNN model MTCNN (Multi-task Cascaded Convolutional Neural Networks) Support Vector Machine algorithm Matplotlib library The workflow of the project Focusing only on the human subject in the CCTV footage other than animals, birds, etc Take a screenshot of the video once we ...

Presenting by Madhan Kumar Selvaraj Mobile phones become a third hand to this generation people and in our day-to-day life we are using the artificial intelligence of the system without our knowledge. I hope everyone used the handwriting input features in the mobile keypad. It recognizes the character or digits when you draw. It may look simple. But the process behind it is very complex and I am using this blog to explain clearly as simple as possible. What this blog is about? This blog concentrates on the process behind the Artificial Neural Network (ANN) and Convolution Neural Network (CNN). It is simply called deep learning or Artificial Intelligence (AI) . For a bonus to my readers, I added the digit recognition project by using OpenCV and CNN. What is deep learning? The human learns things by seeing or hearing something and they can able to recognizes the things once they see it again. For example, a Child recognizes whether an animal is a cat or dog by their pa...