OpenMV藍牙警戒線

貢獻者：SIMON XI (https://github.com/xidameng )

大家好，請大家在閲讀這篇文章之前，先觀看 YouTube 演示影片瞭解專案的詳情。

介紹

這個專案的靈感來自於另一個開源專案 daytripper （連結 1），這個專案使用兩個獨立的設備分別用來 “檢測運動”和 “控制電腦切換應用程式”。然而如果采用計算機視覺解決方案，使用一個設備就能做到上述功能。除此之外，我們甚至還可以在專案中添加例如：人臉識別，速度檢測等功能來進一步擴展現有的專案。

所以在這個專案中我使用了 OpenMV, 它是一個容易部署，輕量，體積小的 IoT 微控制器。與 AMB23 同時使用就可以實現與 DayTripper 專案類似，甚至更多的功能。

元件

AMB23 （RTL8722DM MINI) 開發板 x1

OpenMV （任何型號）開發板 x1

硬體的連接方法非常簡單，只需將 OpenMV 的 P0 引脚連接到 Ameba 板的 Pin 9 引脚。

功能流程

以下是這個專案程式碼的工作原理流程圖：

Code

OpenMV

# Advanced Frame Differencing Example
#
# This example demonstrates using frame differencing with your OpenMV Cam. This
# example is advanced because it preforms a background update to deal with the
# backgound image changing overtime.

import sensor, image, pyb, os, time
from pyb import Pin

p_out = Pin('P0', Pin.OUT_PP)
p_out.low()

TRIGGER_THRESHOLD = 5

BG_UPDATE_FRAMES = 50 # How many frames before blending.
BG_UPDATE_BLEND = 128 # How much to blend by... ([0-256]==[0.0-1.0]).

sensor.reset() # Initialize the camera sensor.
sensor.set_pixformat(sensor.RGB565) # or sensor.RGB565
sensor.set_framesize(sensor.QVGA) # or sensor.QQVGA (or others)
sensor.skip_frames(time = 2000) # Let new settings take affect.
sensor.set_auto_whitebal(False) # Turn off white balance.
clock = time.clock() # Tracks FPS.

# Take from the main frame buffer's RAM to allocate a second frame buffer.
# There's a lot more RAM in the frame buffer than in the MicroPython heap.
# However, after doing this you have a lot less RAM for some algorithms...
# So, be aware that it's a lot easier to get out of RAM issues now. However,
# frame differencing doesn't use a lot of the extra space in the frame buffer.
# But, things like AprilTags do and won't work if you do this...
extra_fb = sensor.alloc_extra_fb(sensor.width(), sensor.height(), sensor.RGB565)

print("About to save background image...")
sensor.skip_frames(time = 2000) # Give the user time to get ready.
extra_fb.replace(sensor.snapshot())
print("Saved background image - Now frame differencing!")

triggered = False

frame_count = 0
while(True):
    clock.tick() # Track elapsed milliseconds between snapshots().
    img = sensor.snapshot() # Take a picture and return the image.

    frame_count += 1
    if (frame_count > BG_UPDATE_FRAMES):
        frame_count = 0
        # Blend in new frame. We're doing 256-alpha here because we want to
        # blend the new frame into the backgound. Not the background into the
        # new frame which would be just alpha. Blend replaces each pixel by
        # ((NEW*(alpha))+(OLD*(256-alpha)))/256. So, a low alpha results in
        # low blending of the new image while a high alpha results in high
        # blending of the new image. We need to reverse that for this update.
        img.blend(extra_fb, alpha=(256-BG_UPDATE_BLEND))
        extra_fb.replace(img)

# Replace the image with the "abs(NEW-OLD)" frame difference.
img.difference(extra_fb)

hist = img.get_histogram()
# This code below works by comparing the 99th percentile value (e.g. the
# non-outlier max value against the 90th percentile value (e.g. a non-max
# value. The difference between the two values will grow as the difference
# image seems more pixels change.
diff = hist.get_percentile(0.99).l_value() - hist.get_percentile(0.98).l_value()
triggered = diff > TRIGGER_THRESHOLD

if triggered == True:
    p_out.high()
else:
    p_out.low()


print(clock.fps(), triggered) # Note: Your OpenMV Cam runs about half as fast while
# connected to your computer. The FPS should increase once disconnected.

AMB23

#include "BLEHIDDevice.h"
#include "BLEHIDKeyboard.h"
#include "BLEDevice.h"

BLEHIDKeyboard keyboardDev;
BLEAdvertData advdata;

#define ENABLE_PIN 9

void setup() {
Serial.begin(115200);
advdata.addFlags();
advdata.addCompleteName("AMEBA_BLE_HID");
advdata.addAppearance(GAP_GATT_APPEARANCE_HUMAN_INTERFACE_DEVICE);
advdata.addCompleteServices(BLEUUID(HID_SERVICE_UUID));

BLEHIDDev.init();

BLE.init();
BLE.configAdvert()->setAdvData(advdata);
BLE.setDeviceName("AMEBA_BLE_HID");
BLE.setDeviceAppearance(GAP_GATT_APPEARANCE_HUMAN_INTERFACE_DEVICE);
BLE.configSecurity()->setPairable(true);
BLE.configSecurity()->setAuthFlags(GAP_AUTHEN_BIT_BONDING_FLAG);
BLE.configServer(3);
BLE.addService(BLEHIDDev.hidService());
BLE.addService(BLEHIDDev.battService());
BLE.addService(BLEHIDDev.devInfoService());

pinMode(ENABLE_PIN, INPUT);

BLE.beginPeripheral();
}

int flag = 0;

void loop() {
if (BLE.connected() && digitalRead(ENABLE_PIN) && flag == 0) {
    Serial.println("Sending keystrokes");
    keyboardDev.keyReleaseAll();
    delay(100);
    keyboardDev.keyPress(HID_KEY_ALT_LEFT);
    delay(100);
    keyboardDev.keyPress(HID_KEY_TAB);
    keyboardDev.keyReleaseAll();
    delay(100);
    flag = 1;
} else {
    flag = 0;
    delay(100);
}
}

總結

這個項目僅用了很短的時間完成，所以它現在並不完美。如果有社群朋友想進一步加入更多功能，你可以继续修改我的程式碼，或者把你的新點子在 GitHub 中留言告訴我。

敬請期待我的下一個專案更新~