For robots to be effective in real-world contexts, they need to be able to capture photos and measurements in various lighting circumstances. As a result, engineers have been attempting to design even more sophisticated sensors in recent years. Other technologies that might benefit from monitoring their surroundings could incorporate these sensors.
There has been recent development of a novel sensor that can collect data in a variety of illumination settings. The sensor makes use of a system that mimics the retina’s operation in the human eye.
The molybdenum disulphide phototransistors used in the construction of the bio-inspired sensor allow it to be made. Nature Electronics published the study’s findings.
Research on optoelectronic memory began five years ago, according to one of the academics who worked on the sensor’s development. To achieve complex image processing capabilities, a new device may create history-dependent and light-dependent signals by combining the multi-function of data storage, sensing, and image processing into a single device.
The researchers released their initial research on optoelectronic memory earlier this year. Due to this study, resistive switching memory devices with photo-sensing and logic capabilities have been introduced.
Optoelectronic random-access memory with three distinct capacities was demonstrated a year later by the same group. It could perform neuromorphic visual pre-processing procedures as well as detect the surroundings and access information stored in its memory.
In the second half of 2020, the research team will take a closer look at in-sensor and near-sensor computing paradigms and present their findings. Research conducted by the team has been incorporated into the current paper.