Scientists at Pennsylvania State University in the United States have taken inspiration from nature and developed a new device that can generate images by imitating the red, green, and blue light receptors and neural networks in the human eye. They created a new sensor array using narrowband perovskite photodetectors that mimic human cone cells and connected it to neural morphology algorithms that mimic human neural networks to process information and generate high-fidelity images. The research is published in the latest issue of 'Progress in Science'. The silicon photodetector in the camera can absorb light but does not distinguish colors. The external filter can separate red, green, and blue, but the filter only allows one color to reach each part of the light sensor, wasting two-thirds of the incident light. This research team has created a thin film perovskite with severely imbalanced electron hole transport. By manipulating the structure of the imbalanced perovskite or stacking layers, a sensor array has been created, and images are projected through the device using a projector. The information collected in the red, green, and blue layers is input into the three-layer neural morphology algorithm, which is a computational technique that simulates the operation of the human brain and can be used for signal processing and image reconstruction. A new device using perovskite materials generates energy when absorbing light, which means it opens the door to battery free camera technology - the device has a structure similar to a solar cell that uses light to generate electricity. Once illuminated with light, it generates an electric current, so like the human eye, information can be captured from light without applying energy. This study may also lead to further development of artificial retina biotechnology. Due to the algorithm simulating neural networks in the human retina, devices based on this technology may one day replace dead or damaged cells in the human eye, thereby restoring vision. (New News Agency)