First off, I’ve run into similar device-only crash issues with Spark AR before—super frustrating when everything works perfectly in the studio! Let’s break down some actionable fixes and debugging steps to track this down, since you don’t have crash logs to work with:

1. Validate Video Asset Compatibility #

Mobile devices have strict limits for video assets, and even small mismatches can cause crashes:

• Resolution & Codec: Stick to 1080p or lower resolution, and use MP4 files with the H.264 codec. HEVC or 4K videos often trigger memory overload on mid-range phones.
• File Size: Keep your video under 100MB. Large files can cause out-of-memory errors when loading.
• Test with a Sample: Swap your video for one of Spark AR’s default sample videos. If the crash stops, your original video is the issue—re-encode it to meet device specs.

2. Optimize Plane Tracker & Video Loading Logic #

Poorly optimized tracking or video initialization is a common culprit:

• Lower Tracker Sensitivity: If your plane tracker’s "Detection Quality" is set to high, it can overwork the device’s CPU/GPU. Try reducing it to medium or low.
• Load Video On Demand: Don’t play the video immediately on app start. Trigger playback only when the plane is first detected to avoid memory spikes:

  const Scene = require('Scene');
  const Textures = require('Textures');
  
  const planeTracker = Scene.root.find('planeTracker0');
  const videoTexture = Textures.get('targetVideo');
  
  planeTracker.onTracked().subscribe(() => {
    videoTexture.play();
  });
  

• Clean Unused Assets: Delete any unused 3D models, textures, or scripts—even idle assets consume memory that could push your app over the edge.

3. Test Across Devices & App Versions #

Crashes can be device or version-specific:

• Try running the filter on a different phone (different brand/OS version). If it works there, the issue is tied to your original device’s hardware or OS quirks.
• Ensure you’re using the latest stable versions of both Spark AR Studio and the Spark AR mobile app. Older versions often have unresolved bugs that cause device crashes.

4. Add Custom Debug Logs #

Even without official crash logs, you can pinpoint the crash location with custom logs:

• Use Diagnostics.log() to track key events in your script, like plane detection or video playback start:

  const Diagnostics = require('Diagnostics');
  
  planeTracker.onTracked().subscribe(() => {
    Diagnostics.log('Plane detected successfully');
    videoTexture.play();
    Diagnostics.log('Video playback initiated');
  });
  

  Connect your device to Spark AR Studio via USB and check the Console tab. If the log cuts off at a specific line, that’s where the crash is occurring.

5. Monitor Memory Usage #

Spark AR Studio has built-in tools to check memory overhead:

• Go to Window > Performance > Memory to see how much RAM your project uses. If it’s near the device’s limit (most mobile apps are restricted to 1-2GB of RAM), optimize further:
  • Compress textures (use PNG for transparency, lower resolution where possible)
  • Reduce polygon counts in any 3D objects paired with the video

If all else fails, build a minimal version of your project—just the plane tracker and a simple video. If it doesn’t crash, gradually add back components from your original project until you isolate the problematic element.

内容的提问来源于stack exchange，提问作者Asif Sb