Contribution: Industrial Research Assistance Program – Contributions to Firms
Altomaxx Technologies Inc.
$206,500.00
The Development of Object Detection Software for Conducting Automated Power Utility Inspections
FY 2021-22 · 2021-10-18
Summary
To develop an AI-YOLO (You Only Look Once) based object recognition detection software, integrated with drones, for critical infrastructure inspections.
YOLO is an open-sourced, real-time object recognition algorithm for object:
• Identification?
• Classification
• Localization
YOLO will be used for 3 critical reasons
• Speed: Can predict objects in real-time
• Accuracy: Accurate results with minimal background errors
• Learning capabilities: Enabled to learn the representations of objects and apply them in object detection
Once complete, the platform will
• Identify utility poles
• Classify utility poles (power, communication, etc)
• Define pole coordinates
• Travel to the pole
• Identify critical infrastructure
Department
Program
Industrial Research Assistance Program – Contributions to FirmsIndustrial Research Assistance Program-Contributions to Firms (linked with high confidence)
Recipient
Location
St. John's|St. John's, Newfoundland and Labrador, Canada
Recipient Type
For-profit organization
Business Number
713721918
Type
Contribution
Source
Proactive Disclosure - Grants and Contributions
Amendments
Each version of the agreement as published, oldest first, with its total as of that version. The amount above is the latest.
| Amendment | Date | Fiscal Year | Total |
|---|---|---|---|
| 0 | 2021-10-18 | 2021-22 | $210,000.00 |
| 1 | 2021-10-18 | 2021-22 | $166,500.00 |
| 2 | 2021-10-18 | 2021-22 | $206,500.00 |
As published
Additional Information
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 31 days. The total amended value is 40,000 dollars.
Additional Information (French)
Cet accord a été modifié 1 fois La date de fin du présent accord a été changé de 31 jours. La valeur totale des modifications est de 40 000 dollars.
Agreement End Date
2022-10-31
Agreement Number
980273
Agreement Start Date
2021-10-18
Agreement Title
The Development of Object Detection Software for Conducting Automated Power Utility Inspections
Agreement Title (French)
Développement d'un logiciel de détection d'objets pour la réalisation d'inspections automatisées des services publics d'électricité
Agreement Type
Contribution
Agreement Value
$206,500.00
Amendment Date
2022-08-03
Amendment Number
2
Coverage
IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation. | Les projets des Contributions aux entreprises stimulent la création de richesse au Canada grâce à l’innovation technologique.
Description
To develop an AI-YOLO (You Only Look Once) based object recognition detection software, integrated with drones, for critical infrastructure inspections.
YOLO is an open-sourced, real-time object recognition algorithm for object:
• Identification?
• Classification
• Localization
YOLO will be used for 3 critical reasons
• Speed: Can predict objects in real-time
• Accuracy: Accurate results with minimal background errors
• Learning capabilities: Enabled to learn the representations of objects and apply them in object detection
Once complete, the platform will
• Identify utility poles
• Classify utility poles (power, communication, etc)
• Define pole coordinates
• Travel to the pole
• Identify critical infrastructure
Description (French)
Développer un logiciel de détection par reconnaissance d'objets basé sur l'IA-YOLO (You Only Look Once), intégré à des drones, pour l'inspection des infrastructures essentielles. YOLO est un algorithme de reconnaissance d'objets en temps réel et en libre accès : • Identification? • Classification • Localisation YOLO sera utilisé pour 3 raisons cruciales • Rapidité : peut prévoir les objets en temps réel • Précision : résultats précis avec des erreurs de fond minimales • Capacités d'apprentissage : capacité à apprendre les représentations d'objets et à les appliquer à la détection d'objets. Une fois finalisée, la plateforme pourra : • Identifier les poteaux électriques • Classifier les poteaux électriques (électricité, communication, etc.) • Définir les coordonnées du poteau • Se rendre au poteau • Déterminer les infrastructures essentielles.
Expected Results
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Expected Results (French)
Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation
Federal Riding
St. John's East
Federal Riding (French)
St. John's-Est
Federal Riding Number
10006
NAICS Code
21311
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Industrial Research Assistance Program – Contributions to Firms
Program Name (French)
Programme d’aide à la recherche industrielle – Contributions aux entreprises
Program Purpose
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Program Purpose (French)
Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation
Recipient Business Number
713721918
Recipient City
St. John's|St. John's
Recipient Country
CA
Recipient Legal Name
Altomaxx Technologies Inc.
Recipient Operating Name
AltoMaxx Technologies
Recipient Postal Code
A1A 5T3
Recipient Province or Territory
NL
Recipient Type
F
Reference Number
172-2021-2022-Q3-980273
