77 lines
2.6 KiB
Markdown
77 lines
2.6 KiB
Markdown
### Coordination between Arduino and Image Recognition
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#### Feasibility and Frameworks
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- Integration between Arduino and image recognition is feasible.
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- Various small cameras like OV7670 are compatible with Arduino.
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- Available image processing libraries:
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- OpenCV: Resource-intensive but widely used.
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- Alternatives: Cameramatcs or Pixy2, tailored for microcontrollers.
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- Object recognition:
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- Pre-trained models or frameworks like TensorFlow Lite for Microcontrollers or EdgeImpulse suitable for microcontrollers.
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#### Processing and Output
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- Data processing on Arduino:
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- Camera detects cards, sends raw data to Arduino.
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- Arduino analyzes data and interprets recognized cards.
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- Decision logic:
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- Implementation of decision logic on Arduino defining actions.
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- Possible speech output based on card recognition.
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#### Energy Consumption
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- Low power consumption or consistent power supply is desirable.
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*Note*: Image processing on Arduino can be challenging due to limited resources and performance capabilities. Finding compromises may be necessary.
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#### Frameworks
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- TensorFlow Lite for Microcontrollers:
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- Executes machine learning models on resource-constrained devices.
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- Edge Impulse:
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- Simplifies application development for microcontrollers, facilitates data collection, model training, and deployment.
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- OpenMV:
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- Platform for computer vision on microcontrollers, supports basic image processing tasks.
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- Arduino Libraries:
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- Example: Arduino Computer Vision Library.
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#### Considerations
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- Processing 10-15 playing cards simultaneously on Arduino can be challenging, considering resource limitations.
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- Possibilities:
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1. Algorithm optimization.
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2. External processing unit.
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3. Prototype and test.
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#### Example Code Collection
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##### Image Recognition with Color Detection (Arduino)
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```cpp
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#include <Arduino.h>
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#include <Wire.h>
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#include <Adafruit_Sensor.h>
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#include <Adafruit_TCS34725.h>
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#define RED_THRESHOLD 1000 // Threshold for red color detection
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Adafruit_TCS34725 tcs = Adafruit_TCS34725(TCS34725_INTEGRATIONTIME_50MS, TCS34725_GAIN_4X);
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void setup() {
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Serial.begin(9600);
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if (tcs.begin()) {
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Serial.println("Color sensor found!");
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} else {
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Serial.println("Color sensor not found. Check connection.");
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while (1);
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}
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}
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void loop() {
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uint16_t clear, red, green, blue;
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tcs.getRawData(&red, &green, &blue, &clear);
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if (red > RED_THRESHOLD) {
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Serial.println("Red color detected!");
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// Further actions for the detected card can be implemented here
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} else {
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Serial.println("No red color detected.");
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}
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delay(1000); // Delay between detection loops
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}
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