AI for Occupancy Analytics - Building a Smart Parking System

Learn to build a computer vision application for managing logistics in an intermodal yard by processing drone footage to identify occupied and empty parking stalls. Follow along as João Marcos, Product Engineer at Roboflow, demonstrates the complete development process from rapid prototyping to final implementation. Start with Roboflow Rapid to detect trailers and stall numbers using text prompts without requiring data labeling or model training from scratch. Explore Roboflow Workflows to architect logic solutions for determining occupancy status using horizontal padding techniques to verify trailer positioning relative to stall numbers. Master advanced filtering methods including Detection Consensus to identify empty stalls by comparing datasets and Overlap Filter for occupied stall detection. Integrate OCR capabilities using OpenAI models to read specific stall numbers, including image preprocessing techniques like cropping and rotation for optimal text recognition. Gain practical experience with rapid prototyping workflows, occupancy detection logic, advanced computer vision filtering techniques, and OCR integration for actionable reporting in smart parking systems.