Research Article
Towards AI-Based Traffic Counting System with Edge Computing
Table 1
Experimental results about running models on Coral Dev Board.
| Model | Model size (Mb) | Accuracy | FPS | Memory (%) | CPU usage (%) | TFLite | Edge TPU TFLite | [email protected] : 0.95 | [email protected] | TFLite | Edge TPU TFLite | TFLite and Edge TPU TFLite (%) | TFLite | Edge TPU TFLite |
| SSD MobileNet V1 300 × 300 | 5.37 | 5.75 | 0.445 | 0.768 | 2.6 | 27.5 | 17.8 | 26% | 34.7% | SSD MobileDet 320 × 320 | 3.33 | 4.31 | 0.621 | 0.921 | 1.8 | 26.8 | 19.7 | 25.8% | 33.3% | SSD MobileNet V2 320 × 320 | 4.58 | 5.18 | 0.462 | 0.794 | 3.2 | 25 | 18.3 | 26.2% | 32.1% | SSD MobileNet V2 FPNLite 320 × 320 | 3.68 | 3.88 | 0.623 | 0.906 | 2.45 | 7.9 | 18 | 26.9% | 26.7% | SSD MobileNet V2 FPNLite 640 × 640 | 4.26 | 4.74 | 0.754 | 0.951 | 0.63 | 2.3 | 19.1 | 26.4% | 24.8% | SSD MobileNet V1 FPN 640 × 640 | 30 | 30.7 | 0.781 | 0.963 | 0.07 | 0.08 | 26.8 | 25.2% | 25.1% |
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