“Sound” motor control @adafruit with CRICKIT #CRICKIT
“Sound” motor control (video). The demo is how to control the speed of a motor with sound using the microphone sensor on CircuitPlayground & CRICKIT. To everything (turn, turn, turn). Code & guide. Crickit – A Creative Robotics & Interactive Construction Kit. It’s an add-on to our popular Circuit Playground Express that lets you #MakeRobotFriend using CircuitPython, MakeCode, Arduino, etc.. robotics, arts, crafts, audio animatronics, sensors, agriculture/robot farming, physical computing, kinetic sculptures, science experiments, telescope control…
The Crickit is powered by seesaw, an I2C-to-whatever bridge firmware. So you only need to use two data pins to control the huge number of inputs and outputs on the Crickit. All those timers, PWMs, sensors are offloaded to the co-processor.
from busio import I2C
from adafruit_seesaw.seesawimport Seesaw
from adafruit_seesaw.pwmoutimport PWMOut
from adafruit_motor import motor
import audiobusio
importtimeimport board
importarrayimportmathprint("Sound sensor motor!")# Create seesaw object
i2c = I2C(board.SCL, board.SDA)
seesaw = Seesaw(i2c)# Create one motor on seesaw PWM pins 22 & 23
motor_a = motor.DCMotor(PWMOut(seesaw,22), PWMOut(seesaw,23))
motor_a.throttle=0# motor is stopped##################### helpers# Maps a number from one range to another.def map_range(x, in_min, in_max, out_min, out_max):
mapped =(x-in_min) * (out_max - out_min) / (in_max-in_min) + out_min
if out_min <= out_max:
returnmax(min(mapped, out_max), out_min)returnmin(max(mapped, out_max), out_min)# Returns the averagedef mean(values):
returnsum(values) / len(values)# Audio root-mean-squaredef normalized_rms(values):
minbuf =int(mean(values))returnmath.sqrt(sum(float(sample-minbuf)*(sample-minbuf)for sample in values) / len(values))# Our microphone
mic = audiobusio.PDMIn(board.MICROPHONE_CLOCK, board.MICROPHONE_DATA,
sample_rate=16000, bit_depth =16)
samples =array.array('H',[0] * 200)
mic.record(samples,len(samples))whileTrue:
mic.record(samples,len(samples))
magnitude = normalized_rms(samples)print(((magnitude),))
motor_a.throttle= map_range(magnitude,90,200,0,1.0)time.sleep(0.1)
from busio import I2C
from adafruit_seesaw.seesaw import Seesaw
from adafruit_seesaw.pwmout import PWMOut
from adafruit_motor import motor
import audiobusio
import time
import board
import array
import math
print("Sound sensor motor!")
# Create seesaw object
i2c = I2C(board.SCL, board.SDA)
seesaw = Seesaw(i2c)
# Create one motor on seesaw PWM pins 22 & 23
motor_a = motor.DCMotor(PWMOut(seesaw, 22), PWMOut(seesaw, 23))
motor_a.throttle = 0 # motor is stopped
##################### helpers
# Maps a number from one range to another.
def map_range(x, in_min, in_max, out_min, out_max):
mapped = (x-in_min) * (out_max - out_min) / (in_max-in_min) + out_min
if out_min <= out_max:
return max(min(mapped, out_max), out_min)
return min(max(mapped, out_max), out_min)
# Returns the average
def mean(values):
return sum(values) / len(values)
# Audio root-mean-square
def normalized_rms(values):
minbuf = int(mean(values))
return math.sqrt(sum(float(sample-minbuf)*(sample-minbuf) for sample in values) / len(values))
# Our microphone
mic = audiobusio.PDMIn(board.MICROPHONE_CLOCK, board.MICROPHONE_DATA,
sample_rate=16000, bit_depth = 16)
samples = array.array('H', [0] * 200)
mic.record(samples, len(samples))
while True:
mic.record(samples, len(samples))
magnitude = normalized_rms(samples)
print(((magnitude),))
motor_a.throttle = map_range(magnitude, 90, 200, 0, 1.0)
time.sleep(0.1)
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EYE on NPI – Adafruit Daily — EYE on NPI Maxim’s Himalaya uSLIC Step-Down Power Module #EyeOnNPI @maximintegrated @digikey
