Reddit mentions: The best acceleration sensors
We found 12 Reddit comments discussing the best acceleration sensors. We ran sentiment analysis on each of these comments to determine how redditors feel about different products. We found 6 products and ranked them based on the amount of positive reactions they received. Here are the top 20.
1. CHENBO(TM)4Pcs 50kg Load Cell Body Scale Weight Weighting Sensor Half-bridge/Amplifier with 1pcs HX711 A/D Module
- Load cell-This load sensor, sometimes called a strain gauge, is the same one found in digital bathroom scales (you know, the ones you use in January for your New Year’s resolutions, and then forget about a month later).
- HX711-This module uses 24 high precision A/D converter chip hx711. It is a specially designed for the high precision electronic scale designwith two analog input channelthe internal integration of 128 times the programmable gain amplifier. The input circuit can be configured to provide a bridge type pressure bridge (such as pressureweighing sensor mode)is of high precisionlow cost is an ideal sampling front-end module.
- LOAD CELL SPECS - 34 mm x 34 mm
- Hx711 SPECS-Selectable 10SPS or 80SPS output data rate;Operation supply voltage range: 2.6 ~ 5.5V
- Package:4 x human scale load cell sensor ; 1X HX711 Module
Features:
2. UNIK MPU-9250 9DOF Module Nine-axis Attitude Gyro Compass Acceleration Magnetic Field Sensor
Specs:
Height | 0.59 Inches |
Length | 0.98 Inches |
Weight | 0.01 Pounds |
Width | 0.08 Inches |
3. LM YN ADXL345 Digital 3-Axis Acceleration Gravity Tilt Sensor Module IIC SPI 3V to 5V
- ADXL345 is well suited for mobile device applications. Can measure the static acceleration of gravity in tilt-sensing applications, it can also measure both dynamic acceleration resulting from motion or shock. Its high resolution (4 mg / LSB), capable of measuring the angle of inclination changes less than 1.0 °.
- Digital output data is 16-bit twos complement format, via SPI (3-wire or 4-wire) or I2C digital access interface.
- ADXL345 is a small, thin, low-power 3-axis accelerometer with high resolution (13-bit) measurement at up to 16g.
- The device offers a variety of special detection. Activity and inactivity sensing detect whether the motion occurs, and the acceleration on any axis exceeds the limits set by the user. Tap detection function can detect and double-click action. Free-fall detection can detect whether the device is falling. These functions can be mapped to two interrupt output pins a. 32 First In First Out (FIFO) buffer can be used to store data to minimize host processor intervention.
- Size: 14mm * 19mm.
Features:
Specs:
Color | Blue |
Weight | 0.04 Pounds |
4. Diymore 6DOF MPU-6050 GY-521 MPU6050 3 Axis Gyroscope + Accelerometer Module for Arduino MPU 6050
- Use chip: MPU-6050.
- Size: 21*15*1.2 mm(max).
- Acceleration range: ± 2 ± 4 ± 8 ± 16g.
- The gyroscope range: + 250 500 1000 2000 ° /s.
- Communication: standard IIC communication agreement.
Features:
Specs:
Color | 1PC MPU6050 |
Number of items | 1 |
Size | MPU6050 |
Weight | 0.02 Pounds |
5. Makerfire Arduino GY-521 MPU-6050 Module 3 Axial Gyroscope Accelerometer Stance Tilt
- Use the chip: MPU-6050
- Power supply :3-5v (internal low dropout regulator)
- Communication modes: standard IIC communications protocol
- Chip built-in 16bit AD converter, 16-bit data output; Gyroscope range: ± 250 500 1000 2000 ° / s
- Acceleration range: plusmn; 2 plusmn; 4 plusmn; 8 plusmn; 16g Immersion Gold PCB machine welding process to ensure quality Pin pitch 2.54mm
Features:
Specs:
Color | MPU-6050 Module |
Height | 0.39 Inches |
Length | 0.79 Inches |
Weight | 0.02 Pounds |
Width | 0.79 Inches |
6. CHENBO 10kg Load Cell Weight Sensor + HX711 ADC Converter Breakout Module Scale Load Cell Weight Weighing
Sturdy aluminum alloy construction with strain gauges pre-attached with strain relieved wires. Accurate measures forces from 0-10kg .Input End: Red+, Black-; Output End: Green+, White-; Excitation Voltage: 5-10V DCOn-chip active low noise PGA with selectable gain of 32, 64 and 128Simple digital cont...
🎓 Reddit experts on acceleration sensors
The comments and opinions expressed on this page are written exclusively by redditors. To provide you with the most relevant data, we sourced opinions from the most knowledgeable Reddit users based the total number of upvotes and downvotes received across comments on subreddits where acceleration sensors are discussed. For your reference and for the sake of transparency, here are the specialists whose opinions mattered the most in our ranking.
Here is the main website detailing how to build an EDTracker. You should make sure to read through this website in addition to reading my comment.
You have a few decisions to make:
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Here's what I did for my build:
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After you build the EDTracker, it requires programming and calibration. I would follow the instructions from the website above, I don't have anything to add to those instructions.
In order to make the EDTracker software work with VRidge, you'll need OpenTrack to translate between the two pieces of software. Follow the instructions here to setup the EDTracker software and OpenTrack. You'll also need to set VRidge to take sensor data from the FreeTrack protocol.
There's one very important piece of information that doesn't appear anywhere. You want to start OpenTrack immediately after the orientation has been reset in the EDTracker software. That way OpenTrack will have the same understanding of the neutral position as the EDTracker software. If this isn't done correctly, you get really strange side effects when moving around. If you then want to map a keyboard button to reset the orientation, this should be done in the EDTracker software and not the OpenTrack software.
Hopefully you find this helpful!
I built some custom scales using scrap hardwood and an HX711 AD converter and four 50kg load sensors for each scale. I'm running a very buggy and slightly modified version of tatobari's hx711py library on the raspberry pi to pull weight settings, but the readings are very shaky and extremely sensitive to changes in temperature, so it's only accurate to about +/-5% (which I'm comfortable with now). I have hardcoded tare weights for full and empty kegs/CO2 canisters, so the python script is sending a calculated percentage to the influxdb database (housed on another, more stable machine in my house) using the influxdb API.
My solution is a little janky but it came together quickly with tools that I'm familiar with. Other folks on r/homebrewing have come up with similar methods and PLAATO just introduced a commercial solution for weighing kegs.
It's some of the cheap half-bridge load cell sensors off Amazon (these: https://www.amazon.com/gp/product/B07D6HYYSN) hooked up to an ESP8266 (I love those boards).
I know the sensors are capable of it, as they're able to pick up when the cats sit in my DIY smart chair, but I'm still working on getting it to differentiate between her and I. The mounting solution is not the best and I think that's causing some issues. I currently just have the load cells along the frame rail, right under the edge of the box-spring, and I don't think they make complete contact with the box spring.
I tried looking for a Jaguar disassembly video, but didn't have any luck. Instead, I tried searching for tilt sensors at Amazon. In addition to ones like this, which look like the ones in the older RB guitars, there were also acceleration sensor chips like this. That's a three-axis accelerometer chip, that can tell which way gravity is pointing. Maybe one of those little chips is the sensor.
Gyro is short for gyroscope though. A gyroscope is anything that measures or maintains orientation and angular velocity. The electronic ones measure orientation and angular velocity, and that’s all that’s required for them to be called gyroscopes.
If you search for “gyro sensors” on amazon you’ll find that they’re all called gyroscope sensors.
Example:
https://www.amazon.com/dp/B01J167T84/ref=cm_sw_r_cp_api_i_VbNWDbWMM8EGY
Or they bought one of these, this, and this, and now you have all the sensors for your spacecraft.
https://www.amazon.com/gp/product/B00OPNUO9U/ref=oh_aui_detailpage_o00_s00?ie=UTF8&psc=1
Accelerometers measure acceleration. It's not the same as an inclinometer. You may be able to approximate tilt for your application from a single accelerometer but to eliminate false indications you would need two.
If you do use an accelerometer, keep in mind that one will not read zero in the vertical plane unless it's in freefall. If it's at rest it will give the reading of gravity (9.8m/Sec^2 )
There are tilt sensors but I have never used them. I can't say if intertia would cause problems with the reading.
https://www.amazon.com/SunFounder-Switch-Sensor-Arduino-Raspberry/dp/B014KQA3T2/ref=sr_1_2?s=industrial&ie=UTF8&qid=1478675603&sr=1-2&keywords=tilt+sensor
There are also gyroscope/accelerometer units that aren't very pricey. If you're going to use something like an Arduino or Raspberry Pi, this would be my choice.
https://www.amazon.com/Makerfire%C2%AE-Arduino-MPU-6050-Gyroscope-Accelerometer/dp/B00NH8Z6BU/ref=sr_1_1?s=industrial&ie=UTF8&qid=1478675641&sr=1-1&keywords=arduino+accelerometer
How would I go about taring the scale? Also, the output isn't just noise, when I press down on the load cell, the output stays the same/follows the same patterns. This means the load cell is almost completely useless, not just inaccurate. Lastly, this is the load cell that I used https://www.amazon.com/CHENBO-Converter-Breakout-Arduion-Weighing/dp/B07Q5D9QB9?pf_rd_p=0fc3f2c4-3ed5-4d11-9995-8d7c82394713&pd_rd_wg=dYDUe&pf_rd_r=ESRG5WE28RVMKHZ8QAC8&ref_=pd_gw_cr_simh&pd_rd_w=wT58U&pd_rd_r=da6dad7b-416b-40b3-b636-32c0d7e2d642#detail-bullets
I thought I put it in the main post but apparently not.