How do machines learn to look like humans? Optimisation of e-commerce media through AI
In the age of the digital revolution, where every pixel and byte is importan, image optimisation is becoming a key issue for mobile app developers. This is where Artificial Intelligence (AI) comes in with an innovative solution that could revolutionise the way we compress and transmit images in the digital world. Read the article and find out how to effectively optimise e-commerce media.
How does AI optimisation of images work?
The image optimisation mechanism, based on closed and trained AI, resembles the human vision process in many aspects. The AI 'looks' at the image, analysing its content in a similar way to the human eye and brain. This includes identifying key elements of the image, such as shapes, colours, textures and patterns, which are important for overall perception and interpretation.
Advanced machine learning algorithms, including deep neural networks, are trained on huge data sets that include a variety of images. Through a process of supervised learning, AI will learn to recognise which pixels are important for understanding content and which can be reduced without significant loss of quality.
Reducing size while maintaining image quality
The main goal of AI in image optimisation is to reduce file size while maintaining the highest possible visual quality. AI performs compression of the image data, eliminating redundancies and less important information that the human eye would likely miss. This allows for a significant reduction in file size, which is extremely beneficial with limited data storage and network bandwidth.
The future of image optimisation
AI's optimisation of images is not static - these systems are constantly improving by continuously learning from new data. Each new image processed by AI can help to further improve the algorithms, teaching the machines to understand increasingly complex patterns and visual nuances. In the case of Monogo AI Image Optimisation, this happens only with the clients' consent. Importantly, the images processed in this way are the property of the customer. You fully decide on their multi-channel distribution. The solution is based on an AI engine trained on billions of multimedia files: images and videos.
Reduction of working hours
With AI, the time needed to manually optimise images can be allocated to more creative and less repetitive tasks. Graphics and design professionals can focus their skills on innovation and creation, while technical processes will be delegated to machines. This translates into greater work efficiency and can also reduce the costs associated with employing staff to perform such tasks.
Despite the promising results, optimising images through AI also throws up ethical and technical challenges. It is important to ensure that these processes are transparent and do not violate privacy and copyright. Additionally, in the face of increasingly sophisticated technologies, it is important to monitor that AI does not make unwanted changes to images that may affect their authenticity.
To sum up, artificial intelligence is revolutionising image optimisation, offering capabilities that until recently seemed impossible. With ever-increasing demands on data transfer rates and the need to reduce storage space, AI is setting new standards in image compression, constantly learning and improving in this area. We are not only witnessing technological advances, but also an evolution in the way computers 'see' and help us in our daily digital lives.
You too can implement artificial intelligence solutions in your shop. By intelligently managing media in your e-commerce, you can maintain the highest quality images while minimising costs. Leave your contact, we will show you how to do it!