Forest Fire Detection App
Wildfires are an important phenomenon on a global scale, as they are responsible for large amounts of economic and environmental damage. These effects are being exacerbated by the influence of climate change. It is important to detect fire and warn the people in charge. So we will create a Fire Detection App with deep learning.
vision tinyML keras CNN Sensors
Clothing Items Classifcation App
This notebook employs the use of neural network to classify different types of clothing items present in the Fashion MNIST Dataset. Tensorflow and Keras has been used to create the neural network for classifying the clothing images to their appropriate classes.
vision mnist keras Sensors fashion
Fire Detection App Using Surveillance Camera
Accidents on the road can sometimes lead to a fire that can get worse over time. Fires along the road due to other reasons are also be hazardous to the traffic on the road and nearby places. These fires need to be detected and controlled with utmost urgency in order to maintain the safety of those in the vicinity.
vision tinyML keras Sensors camera
Visual Wake Word Detection App
Visual wake word detection is the classification of images into 2 classes - with person(s) or without. Just as audio wake word systems respond to a specific phrase, visual wake word systems respond to the presence of humans in the frame.
vision tinyML keras Sensors visual
Improving Image Resolution With Autoencoders App
Autoencoders can be used for increasing Image Resolution and this has proved to be effective when we want extract information from the feeds of Surveillance Cameras and autoencoders can also be used for Noise Reduction and they can serve as part of various IIoT Applications.
vision keras CNN Sensors image