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Raspberry Pi 4 vs 5 for computer vision project

Last updated on 3 days ago
K
KevinSenior Member
Posted 3 days ago
User: Raspberry_Pi_Fan
Subject: Raspberry Pi 4 vs 5 for computer vision project


Planning to build a computer vision project for object detection. Should I buy Raspberry Pi 4 or wait and get Pi 5? Will Pi 5 give significant performance improvement for running ML models? Budget is concern so want to make right choice.
K
KevinSenior Member
Posted 3 days ago
Reply by: EmbeddedML_Specialist
Pi 5 is definitely more powerful with better CPU and GPU. But for computer vision and ML inference, you should consider Coral USB Accelerator with Pi 4 instead. The edge TPU in Coral gives much better performance for ML models than Pi 5 alone. Pi 4 + Coral combo is cheaper than Pi 5 and will give you better FPS for object detection.
K
KevinSenior Member
Posted 3 days ago
Reply by: ComputerVision_Dev
What model are you planning to run? YOLO? If you want real-time performance, even Pi 5 might struggle with standard YOLO models. Consider using optimized models like YOLO-nano or MobileNet SSD. Also look at Jetson Nano if budget allows - its specifically designed for AI workloads and will give much better performance than any Raspberry Pi.
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