Quantian’s fake image detection uses advanced facial markers recognition technology to instantly detect the image is fake or real.As images are one of the most common types of media share among users on social media. So, there is a need for monitoring of images contained in social media. It has become easy for individuals and small groups to fabricate these images for suspecious acts.
Deep neural networks have been widely used in various recognition tasks, we also adopt a deep neural network to detect fake images generated by the GANs
We use a fake face image deteckor based on the novel CFFN, consisting of an improved DenseNet backbone network and Siamese network architecture.The cross-layer features are investigated by the CFFN, which used to improve the performance.The pairwise learning approach is used to improve the generalization property of the DeepFD.
Fake Image Algorithm
We are ready to build your Fake Image Detection system based on intelligent algorithms.
**Follow the steps for live experience
- Keep any object infront of webcam
- Wait till object get stable
- Live feed detect object and show its name
- Try other object
(**To be launch soon)

Computer Vision Development Tools
Our team builds advanced computer vision solutions. When developing facial recognition apps, we use cutting-edge technologies to deliver solutions that will address your business challenges.
Deep Learning

Keras

OpenCV

TensorFlow

Python
