When I call getPower() against every Sensor onboard a Moto360, they all return the value "0.45", which the documentation claims is "the power in mA used by this sensor while in use".
Can this data be trusted? Is it accurate that all use exactly the same amount of power when in use? If so, is that because all sensors are part of a single chip that uses 0.45mA when powered up? In that case, does using all sensors at once use the same 0.45mA as using one? Or will reading from 2 sensors simultaneously draw 0.90mA?
Accuracy aside, how can I understand this power drain in relation to the power required to run the entire device? Is 0.45mA 20% of the power consumption when the watch is dark, or 2,000%? How does 0.45mA compare to power drain when the face is illuminated, etc.
List<Sensor> deviceSensors = mSensorManager.getSensorList(Sensor.TYPE_ALL);
Log.w(TAG, "Found " + deviceSensors.size() + " sensors.");
for (Sensor element : deviceSensors) {
Log.w(TAG, "Found " + element.getName() + " type:"+element.getType() + " vendor:"+element.getVendor() );
}
12-22 12:36:24.632: Found Accelerometer Sensor power:0.45 vendor:Motorola
12-22 12:36:24.632: Found Step Counter Sensor power:0.45 vendor:Motorola
12-22 12:36:24.633: Found Wrist Tilt Sensor power:0.45 vendor:Motorola
12-22 12:36:24.633: Found Detailed Step Counter Sensor power:0.45 vendor:Motorola
12-22 12:36:24.633: Found Gyro Sensor power:0.45 vendor:Motorola
12-22 12:36:24.633: Found Compass Sensor power:0.45 vendor:Motorola
12-22 12:36:24.633: Found Light Sensor power:0.45 vendor:Motorola
12-22 12:36:24.633: Found Heart Rate Sensor power:0.45 vendor:Motorola
12-22 12:36:24.633: Found Rotation Vector Sensor power:0.45 vendor:Motorola
12-22 12:36:24.633: Found Wellness Passive Sensor power:0.45 vendor:Motorola
12-22 12:36:24.633: Found User Profile Sensor power:0.45 vendor:Motorola
12-22 12:36:24.633: Found Orientation Sensor power:0.45 vendor:Motorola
12-22 12:36:24.633: Found Gravity Sensor power:0.45 vendor:Motorola
12-22 12:36:24.633: Found Linear Acceleration Sensor power:0.45 vendor:Motorola
Related
I have a small assignment that consists of reading the luminance from a sensor (GND, VCC, sig).
How can I connect the cables into the board? What constraints file should I have?
Has anybody found any example?
Thank you!
Here are the images of the board and sensor:
board
sensor
The XADC is component number 14 in the image below.
Diagraman
So, I connected the sensor's pins to the board's pins(GND, VCC, sig).
After that, I created a module file and I configured the constraints file to map the AD14 pin.
I am trying to find a way to detect a hot object using Panasonic's GridEye which is a sensor that gives an 8x8 matrix with a temperature in each square.
Is there a common algorithm that allows to detect high variations in the coeffcients of my matrix? (allowing to detect very high and very low temperature objects)
In the image attached for example, I'd like to detect the red squares. The algorithm shall return "Object with temperature 28°C detected".
Temperature profile when a human enters the camera field (distance=1m)
Thanks in advance for your answers :)
i'm working on a school project "automatic railway system"
my project suppose to close the gate when the train coming to the station with a buzzer on with 90 sec count down display on 7-seg. and a led flashing.
after the train leaving the station, the gate opens and the buzzer off and the led off .
i tried to use a dc motor to open and close the gate but it didn't give me the accurate angle that i need to i try to use a servo motor .
so i need it to open the gate at position zero and close it at position 90 .
all the code i found on the internet they using PWM and timers which i didn't take it in my course , so can anyone help me to do this with simple code ,please ?
i'm using Atmega32 running at 16000000 HZ
Its depend on your analog servo (which is controlled by PWM) frequency specification. After you learn about the servo specification, you can set your PWM using build-in features on cvavr compiler, or you can do some research about PWM registers.
Here is some example of PWM setup
//using OC0 (B.3)
DDRB.3 = 1; //set B.3 as output
TCCR0=0b0111 0001;
TCNT0=0; //set to Phase Correct PWM mode, no prescaler, and inverted output
//to assign a value to your PWM
OCR0 = 127 //50% duty cycle since it was 8 bit
We are using MEMS tri axial sensor which has Accelerometer,Magnetometer and Gyrometer.We have also done Accelerometer and Magnetometer calibration.This sensor is used in borehole application.We have calculated Deviation of borehole using Accelerometer.Now we are stuck up in direction calculation free from rotation(i.e if the sensor rotates also the direction should not change).Is it possible to calculate rotation free Direction using the above three(Acce,Magnet,Gyro) readings. If yes please let me know .
Thanks,
S.Naseer
Currently I am using an accelerometer, Gyro and magnetometer for motion tracking application.I have a 9D sensor fusion functionality to calculate the orientations and gravity cancellation from accelerometer data. How do i now calculate the position of the object in three dimensions? Kindly suggest any algorithm which could give good accuracy.
Extended Kalman filter can give you the best results for motion tracking if you are working on real time application. I would suggest you to refer a book Multi Sensor Data fusion with MATLAB (CRC Press).