Project Info

Project Id:11945

FFO Detection system .As FFO stands for fire face object system Face detection is a computer technology that determines the location and size of a human face in digital images. Given an image, the goal of facial recognition is to determine whether there are any faces and return the bounding box of each detected face.It makes use of Mobile Net ssd model .Fire Detection is done using YOLO model,It applies a single neural network to the entire image, which divides the image into multiple regions and predictions are done using bounding boxes and probabilities based on each region.Since YOLO uses a single network for evaluation of the entire image, this makes it faster than most of the other algorithms like R-CNN and Fast R-CNN.Objects are detected from the images with the help of resnet model that is a pretrained model with a layers of 50.This SSD300 object detector has been trained on the COCO dataset. We can use it directly for inference for almost 80 classes

• Model detects phishing Links and protects from cyber threats
• Provides Highest Accuracy
• User Interface