Leading high-performance sensor solutions and analog IC supplier Amers Semiconductor (hereafter referred to as ams) introduced the world's first multi-channel spectral on-chip sensor solution. This product combines RFID technology with NFC technology (Near It is an integrated six-channel visible spectrum sensor with a measurement range from 400nm to 700nm. It has an electronic shutter with an LED driver circuit, which means that a specific brightness source can also be detected by the sensor. This sensor directly detects the wavelength of light and detects fluorescence from material or space. The AS7263 is also a six-channel spectral sensor with a measurement range of NIR and a response to the LED beam. NIR is commonly used in product certification and document verification, and ams believes it is equally applicable to chemical analysis and food and beverage safety tracking. On the other hand, visible light measurements are more commonly used in situations where surface color, absorbance or reflectance changes, or water quality detection or environmental changes under visible light. Ams senior marketing manager for sensor-driven lighting business Tom And the AS7263 has a maximum power consumption of 5mA. Although there is no internal backup power supply, it can be turned off. If it needs to collect samples, it will be turned on, which effectively controls the power consumption. Designed to respond to visible light and can be used to detect color changes in water. Griffiths exemplifies that if the pH of the pool water is tested, it is now necessary to visually inspect the sample and determine the changes after the addition of the chemical additive. This is not a very accurate system because they do not have a pH-controlled instrument installed in the pool, and it is not allowed to send samples to a laboratory equipped with a test instrument for testing. With ams' new spectrometer, users can test pool water or other substances more accurately. Real-time data sharing is possible if they have Wi-Fi or other wireless connections. In this way, we use perceptual technology for all applications that require portable instruments. He pointed out that many companies have begun to consider the case of applying RFID technology. For example, food manufacturers use the NIR version of AS7263 to determine plant survival rates, or use the visible light sensor version of AS7262 to automatically detect when plants are growing and when they grow. Food companies are increasingly growing vegetables and other plants in large stacked greenhouses and using LED lighting to provide the light needed for growth. The new spectral sensor can be used to track the amount of light the plant receives, its response to light, and its response to other conditions. NFC or RFID identifies each pot of plants, with a light sensor, and the greenhouse manager can track each pot of plants. Spectral sensors provide information on plant health and size, while RFID helps identify each pot of plants. Griffiths said that many companies are building millions of square feet of facilities for planting, and their demand for automation is growing. Another potential use case for this technology is forgery detection. Designers of high-end clothing, accessories or other products, as well as government documents, can embed a material that is made up of unique substances that are invisible to the naked eye but identifiable by the spectral sensor. NIR and visible light response data are more efficient when using NFC or RFID technology, or as an alternative to RFID and NFC tags. At the grain harvesting site, the spectral sensor is installed in the hopper of the harvester to identify the health and size of the grain. The food information of the harvester with the unique ID number is then sent over the wireless connection. In addition, the GPS data collected at the harvester can identify where the food collection has been completed. Some companies are also designing devices that use Bluetooth technology to forward sensor data to mobile phones or tablets. Recognizing that these potential application use cases are still unknown technology industries, both product and solution providers and end users are beginning to consider what they can do for themselves with sensors. He has made the development of such smartphones and applications as a modest number, and the use of mobile and tablet user applications has soared. When it comes to usability, Griffiths said, “The first production run is in progress,†and the two multichannel spectral sensor chips are expected to be used in solution vendors' products in the coming months. Fine Mist Sprayer,Fine Mist Spray Bottle,Ultra Fine Mist Spray Bottle,Ultra Fine Mist Sprayer Jiangyin First Beauty Packing Industry Co, ltd , https://www.cosmeticpacking.com
According to James Consulting, ams has introduced a visible and near-infrared sensor core that can be used in optical sensing products for mobile devices or built into sensor networks, and is expected to bring products or locations with the help of RFID technology. The identification is connected to the sensor reading. 　　
Field
Communication, short-range wireless communication technology, will have many potential applications, such as tracking plant health and growth, managing soil data and identifying forgeries. The two multichannel spectral sensor chips, named AS7262 and AS7263, allow companies to build mobile and stationary devices that measure visible and near-infrared spectra (hereafter referred to as NIR). Ams released the product this week, expecting the company to have RFID and NFC technology with the same technical features as Bluetooth, low-power Bluetooth and wireless.
Griffiths said, "Our company is already testing these multi-channel spectral sensor chips. It is certain that the chip will be used in wireless sensing, including Wi-Fi, cellular or other wireless connections that directly send sensor data to the server. The company will also use active RFID technology, which not only enables transmission from the device to the gateway or server, but also allows the spectrometer to uniquely identify the sample being sampled or the point at which the data is being collected."