DOTON: Construction Digital Tracking Tool - ON-1087
Genre de projet: RechercheDiscipline(s) souhaitée(s): Génie - informatique / électrique, Génie
Entreprise: Giraffe Apps Inc.
Durée du projet: 4 à 6 mois
Date souhaitée de début: Dès que possible
Langue exigée: Anglais
Emplacement(s): Toronto, ON, Canada
Nombre de postes: 1
Niveau de scolarité désiré: Maîtrise
Ouvert aux candidatures de personnes inscrites à un établissement à l’extérieur du Canada: No
Au sujet de l’entreprise:
Giraffe Apps Inc. is an AEC-tech startup that is dedicated to solving key operational pain points within the built-world. We create intelligent software products for usage across the entire building life-cycle: from tools for design automation, construction efficiency and computer vision, all the way through to property management.
Giraffe was born out of the internationally recognized, Top 10 architecture firm, WZMH architects. Giraffe combines expert domain expertise and the latest innovations in technology to deliver the AEC solutions for the future of the industry
Veuillez décrire le projet.:
Doton is an advanced digital tracking system designed to ensure the precise alignment and assembly of building components—ranging from structural beams and columns to complete modular units. By enabling real-time distance monitoring between multiple moving elements, Doton improves accuracy, efficiency, and safety across various construction applications.
Developed in response to the need for safer and more reliable modular assembly, Doton offers a robust solution for achieving seamless corner alignment using advanced technologies, including vision systems and robotics. The system integrates a video camera, visual markers, and purpose-built software to deliver real-time, high-precision distance measurements.
With a user-friendly interface and configurable alerts, Doton supports objects of any scale and provides a comprehensive toolset for dimensional analysis and quality control in dynamic environments.
Expertise ou compétences exigées:
o Bckground in Computer Science, Software Engineering, or a related field.
o Experience with computer vision (CV) techniques and tools, such as OpenCV, TensorFlow, or similar libraries.
o Strong programming skills in Python.
o Familiarity with both Windows and Ubuntu operating systems.
o Excellent problem-solving skills and attention to detail.
