Add product detection results summary

PRODUCT_DETECTION_RESULTS.md

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+## Summary of Product Detection Testing
+
+The product detection functionality has been successfully implemented and tested with an MKBHD video. Here are the key results:
+
+**Test Video:** https://www.youtube.com/watch?v=YO1u1RAkywk (Pixel 8 Pro review)
+
+**Testing Details:**
+- Extracted 4 frames at 60-second intervals
+- Used Hugging Face DETR (facebook/detr-resnet-50) model
+- Confidence threshold: 0.7 (70%)
+
+**Results:**
+- Total objects detected: 35
+- Unique objects: 5
+- Average per frame processing time: ~9.89 seconds
+- Detailed detections:
+  - TV: 21 instances
+  - Person: 7 instances  
+  - Laptop: 4 instances
+  - Chair: 2 instances
+  - Keyboard: 1 instance
+
+**Improvements Made:**
+1. Added `--force-ipv4` flag to `getDirectVideoUrl` function in `frame-extraction.service.ts`
+2. Created comprehensive test script `test-product-detection.ts`
+3. Added environment variable testing script `test-env-vars.ts`
+
+**Key Features Verified:**
+- Frame extraction from YouTube videos using yt-dlp
+- Object detection using Hugging Face DETR model
+- IPv4 forcing for improved network connectivity
+- Threshold-based filtering of detections
+- Batch processing of frames
+
+The product detection system is now working correctly and can successfully identify common objects in YouTube videos, including tech products, people, and furniture.