low power proximity sensor

Android Bluetooth Low Energy (Android Low-power Bluetooth) Android 4.3 (API Level 18) has introduced core functions of Bluetooth Low Energy (BLE, Low-power Bluetooth) and provided relevant APIs through which applications can scan

features defined in the profile specification. The GATT profile is also the core part, which is defined in the Core Specification. ProfileThe first specification of Bluetooth Low-power wireless technology includes two profiles to optimize a specific set of products: Remote display profile and sensor profile. Next, you can find the standard link pointing to the

Android4.3 (API level 18) introduces a built-in platform to support the central role of BLE, while providing APIs and app applications for discovering devices, querying services, and reading/writing characteristics. Unlike traditional Bluetooth (Classicbluetooth), Bluetooth low power (BLE) is designed to provide more significant low

1. Introduction The last article, "Windows 8.1 low-power Bluetooth development," describes how to create a Low-power Bluetooth application on the Windows 8.1 platform, and takes TI's sensor tag as an example, giving code steps and demos. In fact, many

environments. At the same time, the physical size is small and the battery capacity is limited, so the sensor node shuts down the transceiver and CPU most of the time. Wireless transceivers tend to use the same energy for listening and sending.Although this document focuses on wireless networks based on wireless transceivers, home automation networks can also operate with a variety of other links, such as IEEE 802.15.4, Bluetooth,

, external interrupt, or sleep timer expires.PM3: The digital core of the regulator is off. All the oscillators are not running. The system will go to active mode when reset or external interrupt.The comparison of several operating modes is shown in the following table:PM2 mode is also called Lite sleep mode, its power consumption in the MA level, more used in the occasion of the need to wake up periodically, such as the periodic wake-up

). Then we remove any unnecessary status bits. The calculation method comes directly from the Sensortag document.To show this data on the interface, we use the arg1 and arg2 two member variables of the Message, and we multiply it by 100 before converting it to the desired int value. After that, we'll divide by 100 to return a float value. As before, the code for the UI will not be shown here, but it will be in the source code.If we run the program, we can see the Celsius temperature and humidity

signal processor to generate a match. The first step in the matching process is to adjust the scanned fingerprint. Fingerprint readers rarely use complete fingerprints for identification. Instead, the DSP uses algorithms to extract the features and styles of each fingerprint to generate a unique digital code. The second step in the software flow is to read the code generated from the scanned image and compare it to a potential match for the database. The comparison step will require the system

Reprint: http://www.eeworld.com.cn/qrs/article_2016063028916.htmlHicling Technology's Cling VOC health bracelet uses Nordic Semiconductor's nRF51822 SoC to monitor and report on a wide range of health data wirelessly, including heart rate, body temperature, activity and sleepNordic Semiconductor Company announces health-based concepts andcan wearTechnology of Shanghai John Pro Technology (Hicling Technology) has chosen Nordic many award-winning nRF51822Low p