RT-Thread-【Vision Board创客营第二阶段体验】基于条形码识别后控制三色led灯闪烁RT-Thread问答社区

【Vision Board创客营第二阶段体验】基于条形码识别后控制三色led灯闪烁

发布于 2024-06-21 18:14:39 浏览：97 订阅该版

[tocm]

原来的打算是通过识别条形码后控制电磁阀或者继电器模块进行联调，但是由于手头上面没有合适的模块，只有独立原件，所以只好退而求其次，实现一个如题目说的内容

代码就在这里，可以直接运行

```python
# This work is licensed under the MIT license.
# Copyright (c) 2013-2023 OpenMV LLC. All rights reserved.
# https://github.com/openmv/openmv/blob/master/LICENSE
#
# Barcode Example
#
# This example shows off how easy it is to detect bar codes using the
# OpenMV Cam M7. Barcode detection does not work on the M4 Camera.

import sensor
import image
import time
import math

from pyb import UART ,LED
uart = UART(2, 115200)

led1 = LED(1)
led2 = LED(2)
led3 = LED(3)

sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.VGA)  # High Res!
#sensor.set_windowing((640, 80))
sensor.set_windowing((640, 400)) # V Res of 80 == less work (40 for 2X the speed).
sensor.skip_frames(time=2000)
sensor.set_auto_gain(False)  # must turn this off to prevent image washout...
sensor.set_auto_whitebal(False)  # must turn this off to prevent image washout...
clock = time.clock()

#led_pin = pyb.Pin("P1", pyb.Pin.OUT_PP)

# Barcode detection can run at the full 640x480 resolution of your OpenMV Cam's
# OV7725 camera module. Barcode detection will also work in RGB565 mode but at
# a lower resolution. That said, barcode detection requires a higher resolution
# to work well so it should always be run at 640x480 in grayscale...

def barcode_name(code):
    if code.type() == image.EAN2:
        return "EAN2"
    if code.type() == image.EAN5:
        return "EAN5"
    if code.type() == image.EAN8:
        return "EAN8"
    if code.type() == image.UPCE:
        return "UPCE"
    if code.type() == image.ISBN10:
        return "ISBN10"
    if code.type() == image.UPCA:
        return "UPCA"
    if code.type() == image.EAN13:
        return "EAN13"
    if code.type() == image.ISBN13:
        return "ISBN13"
    if code.type() == image.I25:
        return "I25"
    if code.type() == image.DATABAR:
        return "DATABAR"
    if code.type() == image.DATABAR_EXP:
        return "DATABAR_EXP"
    if code.type() == image.CODABAR:
        return "CODABAR"
    if code.type() == image.CODE39:
        return "CODE39"
    if code.type() == image.PDF417:
        return "PDF417"
    if code.type() == image.CODE93:
        return "CODE93"
    if code.type() == image.CODE128:
        return "CODE128"

while True:
    clock.tick()
    img = sensor.snapshot()
    codes = img.find_barcodes()
    for code in codes:
        img.draw_rectangle(code.rect())
        print_args = (
            barcode_name(code),
            code.payload(),
            (180 * code.rotation()) / math.pi,
            code.quality(),
            clock.fps(),
        )

str_buffer = code.payload()
        print(
            'Barcode %s, Payload "%s", rotation %f (degrees), quality %d, FPS %f'
            % print_args
        )

uart.write("%s" % str_buffer)
        print("==================\nSending fllowing message through UART: \n%s" % str_buffer)

if "6921382503139" in str_buffer:
#                        led1 = LED(1)
#                        led1.toggle()
#                        time.sleep(0.5)

#                        led2 = LED(2)
#                        led2.toggle()
#                        time.sleep(0.5)

#                        led3= LED(3)
#                        led3.toggle()
#                        time.sleep(0.5)

# 红灯亮5秒
                         led1.on()
                         time.sleep(5)
                         led1.off()

# 蓝灯亮5秒
                         led2.on()
                         time.sleep(5)
                         led2.off()

# 绿灯5秒内闪烁
                         end_time = time.time() + 5
                         while time.time() < end_time:
                             led3.toggle()
                             time.sleep(0.5) # 控制闪烁频率
                         led3.off()  # 最后确保绿灯熄灭

if not codes:
        print("FPS %f" % clock.fps())

```
补充几张图，说明一下，在识别的时候要调好焦距，不然识别不清楚

![screenshot_c24f2e5f402215b7424807ac2639e19.png](https://oss-club.rt-thread.org/uploads/20240621/0dfe9795ce1521e9b64966df026a34f5.png.webp)
最后上一个视频

[VID_20240621_180244.mp4](https://club.rt-thread.org/file_download/2e6e116c9f148b21)
由于时间比较紧张，目前就进展到这里，后续考虑继续合作，共同学习，共同进步。