In CES 2017 SCiO by Consumer Physics shows off the world’s first smartphone with the built-in molecular sensor. Real Smartphone with the sensor, not a prototype or concept model but it’s a real device that can use scanning materials. Just use the SCiO sensor scan you can get information about materials shown on the screen.
Changhong H2 China phone SCiO inside the device goes on sale in June with a price tag of roughly $435 US dollars. It uses the traditional near-infrared spectrometer and, using advances in micro technological research and design, making it small. The patented optical head is now only a few millimeters in size in each dimension. it can scan meat, dairy, fruit, and vegetables for macro-nutrient information and select the best quality produce from the produce stand. Identify over-the-counter pain relievers to avoid confusion.
How SCiO Works
SCiO is based on the proven near-IR spectroscopy method. The physical basis for this material analysis method is that each type of molecule vibrates in its own unique way, and these vibrations interact with light to create a unique optical signature.
SCiO includes a light source that illuminates the sample and an optical sensor called a spectrometer that collects the light reflected from the sample. The spectrometer breaks down the light to its spectrum, which includes all the information required to detect the result of this interaction between the illuminated light and the molecules in the sample.
Spectrometers used for near-IR spectroscopy are normally found in scientific laboratories and are very big and expensive. Designed for consumers, SCiO leverages a tiny spectrometer, designed from the ground up to be mass-produced at low cost. Consumer Physics achieved this advancement by reinventing the spectrometer around low-cost optics and advanced signal processing algorithms.
To deliver relevant information in real-time, SCiO communicates the spectrum of the sample to a smartphone wirelessly, which in turn forwards it to a cloud-based service for review. Advanced algorithms utilize an updatable database to analyze the spectrum within milliseconds and deliver information about the analyzed sample back to the user’s smartphone in real-time.
See more at consumerphysics.com