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Intelligent Task

Integrate AI recognition and path planning to implement intelligent task execution, such as autonomous search.

⏱️ 6 hours 📋 Complete Project 09

Overview

Intelligent task execution is the ultimate goal of drone intelligence. In this project, you will learn how to integrate AI recognition and path planning to implement intelligent task execution.

What You’ll Learn

  • System integration
  • Task planning
  • Autonomous decision making
  • Intelligent behavior

Materials Needed

ItemQuantityNotes
Fully Assembled Drone1-
Computer1With VS Code + ESP-IDF environment
USB Cable1For programming
Indoor Environment1With target objects placed

Step 1: Understand Intelligent Tasks

Intelligent tasks require drones to autonomously perceive the environment, make decisions and execute tasks.

Example: Autonomous search task

  1. Drone takes off and patrols according to preset path
  2. Uses camera to search for target objects
  3. When target is found, hovers and marks position
  4. Returns to starting point after completing search

Step 2: System Integration

Integrate previously learned modules:

  • Path planning (A* algorithm)
  • AI recognition (TinyYOLOv3)
  • Obstacle avoidance (DWA)
  • Visual navigation (Optical flow)

Step 3: Implement Intelligent Task

void faceTracking() {
    // Capture image
    camera_fb_t *fb = esp_camera_fb_get();
    if (!fb) return;
    
    // Image preprocessing
    preprocessImage(fb->buf, fb->width, fb->height);
    
    // Model inference (face detection)
    detection_result_t result;
    runFaceDetectionModel(&result);
    
    // Process inference results
    if (result.num_faces > 0) {
        // Calculate face center point
        int face_x = result.faces[0].x + result.faces[0].width / 2;
        int face_y = result.faces[0].y + result.faces[0].height / 2;
        
        // Control drone to track face
        trackTarget(face_x, face_y);
    }
    
    esp_camera_fb_return(fb);
}

Step 4: Compile, Flash and Test

  1. Compile and flash the code
  2. Test intelligent task execution
  3. Observe if the drone can complete tasks autonomously

Troubleshooting

Task execution fails

  • Check if each module is working properly
  • Optimize task planning strategy

Low efficiency

  • Optimize algorithm performance
  • Increase computing resources

Achievement

Congratulations! You have implemented intelligent task execution, which is the ultimate goal of drone intelligence!

Next Steps

In the final project, you will complete the ultimate challenge of autonomous navigation.

Continue to Project 11: Ultimate Challenge →

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