from machine import Pin,ADC
import time
from keras_lite import Model # 從 keras_lite 模組匯入 Model
import ulab as np # 匯入 ulab 模組並命名為 np
model = Model('temperature_model.json') # 建立模型物件
#增加神經網路的參數與模型
mean = 170.98275862068965 #平均值
std = 90.31162360353873 #標準差
adc_pin = Pin(36)
adc = ADC(adc_pin)
adc.width(ADC.WIDTH_9BIT)
adc.atten(ADC.ATTN_11DB)
data=0
while True:
for i in range(20):
thermal=adc.read()
data=data+thermal
time.sleep(0.01)
data=data/20
print(int(data),end=' ') # 顯示ADC值;end=''代表不換行
data = np.array([int(data)]) # 將data轉換成array格式
data = data-mean # data減掉平均數
pass
print('Wifi連線成功')
device_id = "請填入您的中華電信設備編號"
headers = {"CK": "請填入中華電信平台金鑰"}
# 中華電信IoT平台
url_CHT = "http://iot.cht.com.tw/iot/v1/device/" + device_id + "/rawdata"
# LINE(請記得更改為http)
url_line = "請填入IFTTT複製的網址(請記得將https更改為http)"
mean = 170.98275862068965
std = 90.31162360353873
model = Model('temperature_model.json')
adc_pin = Pin(36)
adc = ADC(adc_pin)
adc.width(ADC.WIDTH_9BIT)
adc.atten(ADC.ATTN_11DB)
data = 0
while True:
for i in range(20):
thermal = adc.read()
data = data + thermal
time.sleep(0.01)
from machine import I2C, Pin
import machine
import mpu6050
import time
from keras_lite import Model
import ulab as np
import network
import socket
host = '0.0.0.0'
port = 9999
mean = 2642.4535925925925
std = 10607.848009804136
model = Model('gesture_model.json')
label_name = ['right','down','stop','left','up']
LED=Pin(2,Pin.OUT,value=0) # 關閉內鍵led燈
button=Pin(12,Pin.IN,Pin.PULL_UP)
i2c = I2C(scl=Pin(25),sda=Pin(26))
accelerometer = mpu6050.accel(i2c)
data=[]
while(accelerometer.get_values()['AcX']==0 and
accelerometer.get_values()['AcY']==0 and
accelerometer.get_values()['AcZ']==0):
pass
from machine import I2C, Pin
import mpu6050
import time
from keras_lite import Model # 匯入第三方函式庫
import ulab as np
#增加神經網路的參數
mean = 849.1830065359477 # 請複製Colab上的mean
std = 16766.660464036682 # 請複製Colab上的std
model = Model('walk_model.json') # 建立模型物件
label_name = ['others', 'walk'] # label名稱。要與Colab指定的順序一樣
i2c = I2C(scl=Pin(25), sda=Pin(26))
accelerometer = mpu6050.accel(i2c)
data = []
reset = False
while (accelerometer.get_values()['AcX'] == 0
and accelerometer.get_values()['AcY'] == 0
and accelerometer.get_values()['AcZ'] == 0):
pass
step_count = 0 # 總步數
last_time = time.time() # 記錄上次時間
while True:
if (reset == False):
time.sleep(0.3)
data = []
accelerometer = mpu6050.accel(i2c)