Computer Vision Trained Progress Traction | Tensorflow | Java |

Overview

Purpose-built photo app that helps construction professionals take, annotate, and share job site photos. Computer Vision models are trained to automatically track the progress made during construction.

Digital Driver

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Snap photos of damaged property or materials.

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Generate PDF reports for evidence, archives or later use.

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Snap photos, add annotations, assign tasks, track photo location, get reports

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Train AI models that can detect and track the progress made during construction and update the reports.

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Document and take photos of buildings or structures.

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Snap and markup photos for appraisals or insurance claims.

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Produce daily reports at a construction site.

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Capture and tag images for Custom Vision AI models.

Business Value

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End-to-end AI-Powered construction task management and tracking Mobile App will revolutionize the construction industry,

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Accurate real-time progress tracking for stakeholders without having to physically visit the construction sites.

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Common errors, safety violations, inefficient use of resources can be detected, tracked and corrected to improve the overall safety and productivity.

Technology

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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50+

AI & ML
Engineers

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40+

AI & ML
Projects for
reputed Clients

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5 yrs

in AI & ML
Engineering

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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