We can re-design the image representation using a deep neural network that captures complex features from raw pixel data. The model will learn to extract abstract representations by combining simpler features like edges and contours. This deep learning-based approach can adapt to various lighting conditions, reducing the need for extensive labeled training data and improving detection accuracy.
