AI for Occupancy Analytics | Building a Smart Parking System

Roboflow · Beginner ·👁️ Computer Vision ·3mo ago
In this video, João Marcos, Product Engineer at Roboflow, demonstrates how to build a computer vision application to manage logistics in an intermodal yard. You will learn how to process drone footage to identify which parking stalls are empty and which are occupied by trailers. João walks through the entire process, starting with Roboflow Rapid to detect trailers and stall numbers without labeling any data. He then dives into Roboflow Workflows to architect a logic solution for determining occupancy. Finally, he integrates an OCR model (OpenAI) to read the specific stall numbers for actionab…
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Chapters (9)

Introduction: Visualizing Occupied vs. Empty Stalls
0:43 Architecting the Solution & Logic
2:42 Detecting Trailers & Numbers with Roboflow Rapid
4:15 Setting up the Roboflow Workflow
8:29 Using Horizontal Padding to Understand Occupancy
10:00 Filtering for Occupied Stalls (Overlap Filter)
12:51 Identifying Empty Stalls (Detection Consensus)
15:58 Reading Stall Numbers with OCR & Pre-Processing
19:30 Final Results & Batch Processing Visualization

Playlist

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