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Enhanced Computer Vision System for Outdoor Lighting Placement

exposit.com

Construction

Consumer products & services

eCommerce

Challenges in Outdoor Lighting Planning

Users struggle with predicting outdoor lighting outcomes due to limited visualization capabilities, leading to material waste and dissatisfaction. Existing computer vision algorithms suffer from inaccurate results caused by poor dataset quality, including low-resolution images, inconsistent labeling, and regional architectural bias.

About the Client

Provider of outdoor building lighting solutions and automated design services

Key Project Objectives

Improve algorithm accuracy through enhanced dataset quality
Develop a robust validation system for consistent performance
Optimize lighting plan generation speed and user experience
Reduce operational costs through automated processes

Core System Functionalities

Photo upload and analysis interface
Automated lighting plan generation with 5+ options
3D visualization of lighting configurations
Material quantity calculation and ordering system
Seasonal/architectural style adaptation

Technology Stack

Python

Node.js

OpenCV

Numpy

System Integrations

Payment gateway integration
Cloud storage API for image processing
User account management system

Performance Requirements

99.9% system availability
Response time under 5 seconds for plan generation
Data privacy compliance (GDPR)
Scalable architecture for 10k+ concurrent users

Expected Business Impact

Increased customer satisfaction through accurate visualizations, 40% reduction in material waste from improved planning, 30% lower operational costs via automation, and enhanced market competitiveness through faster service delivery.