Flashlight For Motorola MOTO Z ? The Brightest Flashlight In The Market. ^HOT^
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Let's be honest, the LED light on the back of your smartphone works far better as a flashlight than a camera flash. Dedicated low-light camera modes produce far better results than a small light ever could. That said, that tiny light is a great replacement for the bulky flashlight hiding in your kitchen cupboard.
You can use various methods to turn on the flashlight on your Android phone. Some of them are well known, but you might be surprised by a few mentioned in this guide. Read on to learn more about these different methods for turning on your flashlight and why you might want to try them out on your own device.
This is likely the default choice for many since you can easily access the flashlight from Android's Quick Settings menu. It lets you quickly access your flashlight by swiping down on your status bar and tapping an icon. To check your phone's flashlight Quick Settings shortcut, do the following:
If you frequently use the flashlight on your Android smartphone, you might consider placing it in one of your first four tiles for quick access. You can always rearrange its location if needed by tapping the Pencil icon again. When using the At a Glance feature on Pixel smartphones, you can also turn the flashlight off directly from your home screen. You can do the same at your lock screen, making it even easier to turn the flashlight off when you're done using it.
With the Android 13 Developer Preview, you can finally double-tap the back of your phone to use the flashlight. To access the Quick Tap feature and set it to the flashlight action on Android 13 (if you have it), try this:
More people will have access to this feature when Android 13 launches to the public later in 2022. But using the flashlight with Quick Tap is helpful in a pinch, so you might find you like this method even better than the Quick Settings tile.
Consider making a second action button to turn off the flashlight when you press it. Having two buttons allows you to turn the flashlight on and off again without manually bringing up Google Assistant.
The other methods for turning on your flashlight are part of the Android system or from Google, but we'll also mention a third-party app to check out. Shake Flashlight can activate the bright light on your Android smartphone using a simple shaking motion, which might be handy in certain situations. With over 1 million downloads, it has been a popular choice since 2015 for third-party Android flashlight apps. To get started using this app on your phone, you can do the following:
The standard praise we have for Motorola's My UX interface applies to the Moto G Power (2022). My UX is a clean implementation of Android, and the few additions Motorola makes are welcome ones, such as gesture shortcuts to take screenshots, split your screen or turn on the flashlight. Wallpapers and styles let you personalize the look of your phone.
MotoTorch is available on the Android Market that uses the camera's LEDs as a flashlight. It's a widget so it's as simple as adding it to a home screen, click it to turn on the LEDs, then clicking it again to turn off the LEDs.
The sketch reveals a camera setup similar to Moto Z, and the sensor placed in a circular shaped enclosure along with the LED flashlight. Motorola may be planning to implement the Moto Z design across its entire midrange.
However, these portable and wearable systems require additional accessories, which can be avoided by exploiting the embedded sensors such as a camera and microphone in the smartphone for monitoring HR and HRV. Using smartphone camera sensors, it is possible to estimate HR and HRV from the photoplethysmogram (PPG) signal derived from the video of the bare skin such as of the fingertip (Figure 3b) or the face. The light absorption characteristics of hemoglobin in blood differ from the surrounding body tissues such as flesh and bone. PPG estimates the volumetric changes in blood by detecting the fluctuation of transmissivity and/or reflectivity of light with arterial pulsation through the tissue (Figure 4) [22,35]. Although near-infrared (NIR), red light sources are used in most commercial systems [22,35], some researchers [36,37,38,39,40] exploited the smartphone embedded white flashlight to illuminate the tissue to measure the PPG.
Most published smartphone-based HR and HRV monitoring applications [36,37,38,39,40] follow a similar approach where these parameters are extracted from the PPG signal either by measuring pulse-to-pulse time difference in time-domain  or by finding the dominant frequency in the frequency domain [36,38]. In Reference , the HR and HRV were estimated from the PPG signal obtained from the fingertip using the flashlight and the camera of a smartphone. The green channel of the video data was used to derive the pulse signal after a low-frequency band-pass filtering. Instead of using a conventional peak/valley detection method, the authors detected the steepest slope of each pulse wave and evaluated the correlation of the PPG signal with a pulse wave pattern to determine the cardiac cycles. The calculated HR and HRV were highly correlated to that measured from a commercial ECG monitor, although the degree of improvement in the measurement accuracy with the proposed algorithm over the conventional method was not reported. In addition, the authors did not evaluate the performance of the proposed algorithm when there were any bodily movements. A previously reported [41,42] motion detection technique was employed in Reference  to identify and discard the corrupt video data that is highly affected by motion artifacts. The PPG signal was derived from the video of the index fingertip recorded using all three channels (red, blue and green) of a smartphone camera. They calculated a threshold based on the difference of the maximum and the minimum intensity and summed up the pixel values with intensity greater than the threshold for each frame, from which the PPG signal was obtained. The periodic change in the blood volume flow during the cardiac cycles was reflected in the PPG signal acquired through the red channel in comparison to the other two channels. The pulse rate was finally extracted by performing simple Fast Fourier Transform (FFT) analysis on the PPG obtained through the red channel, achieving an average accuracy of as high as 98% with a maximum error of three beats per minute (bpm) with respect to the actual pulse. However, the algorithm cannot correct motion artifact in the video. Rather, it relies on restarting the video recording when the movement exceeds a predefined level. 2b1af7f3a8