Sensors give form to the non-visible aspects and events of a world by capturing sound vibrations. The mechanical properties of the human ear serve as inspiration for the building blocks of hearing sensors.
FREMONT, CA: Sensing technology has progressed to the point that it is now essential to everyday life as we know it. Advanced sensor networks are used in a variety of fields and are still being developed. Sensor devices are becoming increasingly intelligent as a result of AI technologies, allowing them to interact with one another and develop autonomous actions. Some people go so far as to do their computation on the edge. Sensors create a digital version of the world in which they work by gathering data from households, houses, and vehicles. They allow applications in virtually every established industry in this way.
Sensing technology encompasses all five of the human senses, as well as others. Take a look at some of the applications of digital sensing technology.
Vision systems are some of the most widely used optical sensing systems, with applications in both industry and everyday life. Surveillance cameras, infrared scanning systems, and LiDAR systems all depend on the ability to model 2D and 3D environment data. From research engineering projects to large-scale industrial ventures, visual sensing technology lays the groundwork for multidisciplinary growth.
Visual sensor information processing algorithms support a wide range of applications. Live motion detection, face tracking, and identity recognition are all performed by security systems. Self-driving vehicles, likewise, evaluate their trajectory in real-time and estimate pedestrian intentions. Algorithms and visual sensing technologies complement each other, allowing for greater creativity and the advancement of more mature software products.
Audio sensing technology is used in both everyday life and large-scale industrial ventures. Sensors give form to the non-visible aspects and events of a world by capturing sound vibrations. The mechanical properties of the human ear serve as inspiration for the building blocks of hearing sensors. They can, however, be calibrated to cover frequencies well beyond what humans can perceive (such as ultrasounds). They are used in industrial automation, as measuring instruments in construction equipment, and as part of medical imaging techniques, among other things, because of their versatility.
The development of increasingly intelligent consumer electronics is enabled by advanced audio processing capabilities. Filtering noise, detecting simple patterns, and constructing recognition models are all handled by basic signal processing algorithms. Furthermore, advanced machine learning allows for speech recognition, speaker recognition, and natural language processing. These types of apps are at the heart of AI-powered personal assistants.