Low-Cost Webcam Camera and GNSS Integration for Updating Home Data using AI Principles

Hepi Hapsari Handayani; Mokhamad Nur Cahyadi; Agus Budi Raharjo; Failaqul Haq

doi:10.21834/e-bpj.v8iSI16.5249

Authors

Hepi Hapsari Handayani Sepuluh Nopember Institute of Technology, ITS Sukolilo Campus, Surabaya 60111, Indonesia
Mokhamad Nur Cahyadi Sepuluh Nopember Institute of Technology, ITS Sukolilo Campus, Surabaya 60111, Indonesia
Agus Budi Raharjo Sepuluh Nopember Institute of Technology, ITS Sukolilo Campus, Surabaya 60111, Indonesia
Failaqul Haq Sepuluh Nopember Institute of Technology, ITS Sukolilo Campus, Surabaya 60111, Indonesia

DOI:

https://doi.org/10.21834/e-bpj.v8iSI16.5249

Keywords:

Mobile Mapping, GNSS, IMU, Similarity

Abstract

PDAM Surya Sembada Surabaya City responds to Surabaya's water service demand by pioneering a cost-effective mobile mapping tech. This innovation integrates 3 MP webcams, GNSS, and IMU sensors to update customer building data efficiently. Precise photo data with location and movement info within 1-meter proximity captures accurate building coordinates. Applying georeferencing and Cosine Similarity reduces redundant data by 50%. GNSS, IMU sensors, and VGG-16 model aid data collection and analysis. This comprehensive approach optimizes PDAM Surabaya's operations, ensuring timely and accurate customer updates amid Surabaya's population growth, promising enhanced service delivery while managing costs.

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