FaceMesh — اكتشاف الوجوه والتعبيرات في Scratch

😎 FaceMesh — اكتشاف الوجوه والتعبيرات في Scratch #

The FaceMesh extension brings real AI-powered face tracking into Scratch.
It lets your code in scratch react to your expressions, head movement, and gestures — all in real time, right in your browser, with no setup required.
Simple enough for students, powerful enough for creative classrooms. 😊

🌟 ملخص #

• Detect 4 Faces: Detect up to 4 faces at once.
• 478 Landmarks: Track 468 facial keypoints (eyes, nose, mouth, chin, etc.) plus 10 iris-specific keypoints.
• Read Coordinates: Get X/Y positions of any face landmark on the Scratch stage.
• Measure: Calculate angles and distances between face landmarks.
• Change Camera Preview: Show, hide, or flip the live camera view to match your setup.
• Choose Input: Analyze from the live camera or directly from the Scratch stage image.

✨ Key Features #

• Multi-face tracking (1–4 faces).
• Friendly dropdown for common face parts.
• Adjustable “classify” intervals for smooth performance.
• Camera preview, transparency, and device controls.
• Works fully in-browser — safe and private.

🚀 How to Use #

1. Go to: pishi.ai/play
2. Open the Extensions section.
3. Select the FaceMesh extension.
4. Allow camera access if prompted and check that your video preview appears.
5. If no cameras are detected, the input will automatically switch to the stage image instead.
6. Once the extension loads successfully, continuous face detection in no delay mode starts automatically.
7. Now you can use the position or measurement blocks to make sprites react to your face — move, smile, blink, or tilt your head to control your project!

Tips

• Good lighting helps the model detect your face better.
• Use person no: 1–4 when multiple faces appear.
• For classrooms or older devices, start the classification at 100–250 ms intervals for smooth performance.

🧱 Blocks and Functions #

📍 Position & Count #

x of keypoint no: [KEYPOINT_MENU_ITEM] person no: [PERSON_NUMBER]
y of keypoint no: [KEYPOINT_MENU_ITEM] person no: [PERSON_NUMBER]

x of keypoint no: [KEYPOINT_NUMBER] person no: [PERSON_NUMBER]
y of keypoint no: [KEYPOINT_NUMBER] person no: [PERSON_NUMBER]

Reports the X or Y position of a facial landmark on the stage.
[KEYPOINT_MENU_ITEM]: choose from the dropdown list (eyes, nose, lips, etc.).
[KEYPOINT_NUMBER]: enter a keypoint index between 0–477.
Click on image below to see full size landmark numbering:

[PERSON_NUMBER]: selects which face to track (1–4). “1” = first detected face.
Returns empty if no face is detected.

face count
Reports the number of faces currently detected (0–4).

📏 Measurements #

angle between keypoints: [KEYPOINT_1] and [KEYPOINT_2] object no: [PERSON_NUMBER]
Angle (in degrees) between two landmarks on one face — great for detecting head tilt or nods.

distance between keypoints: [KEYPOINT_1] and [KEYPOINT_2] object no: [PERSON_NUMBER]
Distance in stage pixels between two landmarks — perfect for mouth-open or eye-blink detection.

Notes:
Default keypoints: 152 (chin) and 10 (forehead center).
Coordinates are stage-centered (X ≈ −240…240, Y ≈ −180…180).
When the video is mirrored, the X coordinate values are also flipped to match what you see on-screen.

⚙️ Classification Controls #

• classify [INTERVAL] — Choose how often detection runs:
  • every time this block runs
  • continuous, without delay
  • continuous, every 50–2500 ms
• turn classification [on/off] — start or stop continuous detection.
• classification interval — reports the current interval in milliseconds.
• continuous classification — reports continuous detection is “on” or “off”.
• select input image [camera/stage] — choose camera or stage.
• input image — reports the active input source.

🎥 Video Controls #

• turn video [off/on/on-flipped]
  • on: shows the camera preview in a mirrored view (like a typical webcam or mirror).
  • on-flipped: shows the camera preview in a non-mirrored view — directions appear as in the real world.
  • off: turns off the camera preview. In stage input mode, detection continues to run.
• set video transparency to [0–100] — adjusts how visible the camera preview is:
  • 0: fully visible (solid image)
  • 100: fully transparent (invisible but active)
  Use a value from 0–100 to adjust the camera background’s opacity and help sprites appear clearly over the camera preview.
• select camera [CAMERA] — chooses among available cameras on your device. The dropdown lists all detected cameras, and the extension switches automatically to the one you select.

😊 Common Keypoints (Handy Numbers) #

Use these shortcut keypoints for common facial regions. You can also enter any index manually from 0–477.

Numbers match the landmark indices used by MediaPipe FaceMesh.

🎓 Educational Uses #

• Explore AI and computer vision concepts visually — understand how computers recognize and track faces.
• Teach coordinate systems by linking head or eye movement to sprite positions on the stage.
• Apply math and geometry to measure angles, distances, and facial symmetry.
• Create interactive art or accessibility projects that respond to expressions or gestures.

🎮 Example Projects #

• Talking Sprite: Measure lip distance to animate a mouth or trigger speech.
• Head-Tilt Controller: Tilt your head left or right to steer a sprite or car.
• Blink to Jump: Detect eyelid closure and make your character jump — a fun no-hands controller!
• Face Counter Game: Start only when a face is detected — bonus points for two faces at once!
• Smile to Win: Create a game that rewards smiles or happy expressions.
• Emoji Match: Copy the displayed emoji’s expression to score points.

🧩 Try it yourself: pishi.ai/play

🔧 Tips & Troubleshooting #

• No camera?
  • Make sure your camera is connected and browser permission is allowed.
  • If the camera is blocked, enable it in your browser’s site settings and reload the page.
  • During extension load, if no cameras are detected, the input will automatically switch to the stage image so you can still test FaceMesh features.
• No detection?
  • continuous classification: Use this reporter to see if classification is active.
  • If it is active, improve lighting and face the camera directly.
  • turn classification [on]: Use this block, if classification is not active, then recheck the classification status with the above reporter.
  • In camera input mode, when the camera is turned off, classification is also stopped — you must turn the video back on or switch input to stage.
  • In stage input mode, the system classifies whatever is visible on the stage — backdrops, sprites, or images. You can turn off the video completely and still process stage images.
  • Stage mode is slower than camera input, so lower your classification interval (e.g., 100–250 ms) for smoother results using this block: classify [INTERVAL]
  • In stage mode, “left” and “right” landmarks are swapped because the stage image is not mirrored — coordinate space represents a real (non-mirrored) view.
  • Classification can also restart automatically when you use blocks such as:
  turn video [on] / classify [INTERVAL] / select camera [CAMERA] / select input image [camera/stage].
• Flipped view?
  turn video [on-flipped]: Use this to show the camera without mirroring. “on” mirrors like a selfie; “on-flipped” shows real left/right orientation.
• Laggy or slow?
  Use classification intervals between 100–250 ms or close other browser tabs to reduce processing load.
• WebGL2 warning?
  Try Firefox, or a newer device that supports WebGL2 graphics acceleration.
• Analyze stage instead of camera?
  select input image [stage]: Use this to analyze the Scratch stage image instead of a live camera feed.

😎 FaceMesh Specific Tips #

• No face detected? Make sure your full face is visible and well-lit — avoid backlighting from windows.
• Tracking unstable? Keep your head steady and face the camera directly for best accuracy.
• Multiple faces? Use person no: 1–4 to select which face to track. Person 1 is usually the largest/closest face.
• Landmarks jittery? Increase the classification interval (e.g., 150–200 ms) to smooth out rapid fluctuations.
• Need precise eye/iris tracking? Use keypoints 468–477 for iris centers and edges — great for gaze direction or blink detection.
• Mouth not opening? Measure distance between keypoints 0 (upper lip) and 17 (lower lip) — larger values = mouth open.
• Detect head tilt? Calculate angle between keypoints 454 (left eye) and 234 (right eye) — deviation from 0° = tilt.
• Smile detection? Measure distance between mouth corners (keypoints 61 and 291) — wider = smile.
• Stage mode with photos? Remember landmarks are not mirrored in stage mode — left/right are true anatomical positions.

🔒 Privacy & Safety #

• Everything runs locally in your browser.
• No images or video are uploaded anywhere.
• Model files may download once for offline use.
• Always ask a teacher or parent before using the camera.
• Anytime, you can safely turn video [off].

🧪 Technical Info #

• Model: MediaPipe Face Mesh
• FrameWork: TensorFlow.js (latest version) — runs fully in-browser using WebGL2 acceleration
• Faces: up to 4
• Landmarks: 478 total (0–477)
• Coordinates: stage-centered pixels (X right, Y up)
• Mirroring: “on” = mirrored preview, “on-flipped” = true view
• Inputs: camera or stage canvas
• Default keypoints: 152 (chin), 10 (forehead center)
• Requires: WebGL2 for best performance

🔗 Related Extensions #

• 🖐️ Hand Pose — detect hand landmarks
• 🕺 تتبع الوضعية — track body pose
• 🧩 Image Trainer — build custom AI models
• 🏫 آلة جوجل التعليمية — import your own TM models

↔ مرر لليسار أو اليمين لعرض الجدول الكامل على الهاتف المحمول

💡 Why Choose FaceMesh? #

FaceMesh offers a much richer and more precise understanding of faces. It goes beyond detecting that a face exists — it tells you what the face is doing.

• Link expressions and movement directly to sprite behavior.
• Measure angles, distances, and positions for STEM and AI lessons.
• Create gesture-based games or emotion-reactive characters — all inside Scratch.
• Learn real computer vision concepts that scale to professional AI frameworks like MediaPipe.

In short:
MIT’s Face Sensing is great for simple, fun introductions.
Pishi.ai FaceMesh is for creators who want real AI-powered expression tracking — still easy, but dramatically more capable.

📚 Learn More #

• AI Extensions Help at pishi.ai
• MediaPipe FaceMesh Reference
• Scratch Ideas