Abstract
The collection, organization, and retrieval of industrial media is a pervasive challenge that is especially glaring for companies in the AEC industry. Construction projects often generate large volumes of pictures & videos from the field for tracking progress and communicating between engineers, contractors, and subcontractors. It is not uncommon for field personnel to capture hundreds of photos per week on any given jobsite.
Smartvid.io is a cloud-based software solution designed for the specific needs of industrial media. The application’s internal deep-learning engines, collectively nicknamed VINNIE (for ‘Very Intelligent Neural Network for Insight and Evaluation’), use speech and image recognition to analyze and organize pictures & videos.
Smartvid.io tames the challenge of effective enterprise-wide media management, automates otherwise tedious manual processes, and provides an “insurance policy” by enabling easy retrieval of critical photo and videos. Clients who have implemented Smartvid.io have achieved a 60% improvement in field documentation and image retrieval processes. And getting started is easy, especially for customers using Smartvid.io’s direct integrations which can be connected within 90 seconds, immediately improving media access for both project teams as well as operations, marketing, and safety professionals.
Fact Sheet ID Number
OT02013
Sub-Area
Engineering Software
Keywords
construction, technology, data collection, software, cloud system, data management, construction management, deep-learning, VINNIE, smart tagging, automation
DOI
10.5703/1288284316366
Date of this Version
4-27-2017
Recommended Citation
ECT Team, Purdue, "SMARTVID.IO" (2017). ECT Fact Sheets. Paper 229.
http://dx.doi.org/10.5703/1288284316366
Fact Sheet Type
Research Breakthrough
Included in
Civil Engineering Commons, Construction Engineering and Management Commons, Engineering Education Commons, Engineering Science and Materials Commons, Environmental Engineering Commons, Geotechnical Engineering Commons, Hydraulic Engineering Commons, Other Civil and Environmental Engineering Commons, Transportation Engineering Commons