Subventions et des contributions :

Titre :
Development of an artificial neural network for identification of used button cell batteries
Numéro de l’entente :
CARD1
Valeur d'entente :
25 000,00 $
Date d'entente :
10 janv. 2018 -
Organisation :
Conseil de recherches en sciences naturelles et en génie du Canada
Location :
Ontario, Autre, CA
Numéro de référence :
GC-2017-Q4-00608
Type d'entente :
subvention
Type de rapport :
Subventions et des contributions
Informations supplémentaires :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019).

Nom légal du bénéficiaire :
Fraser, Andrew (Conestoga College Institute of Technology and Advanced Learning)
Programme :
Subventions d'engagement partenarial pour les collèges
But du programme :

Alkaline batteries in all shapes and sizes are used in many applications and comprise 78% of all batteries soldx000D
into the Canadian market every year. Alkaline (non-rechargeable) and Lithium-Ion (rechargeable) batteriesx000D
contain Zinc and rare Earth metals such as Lithium, Cadmium, and Nickel. If these batteries are recycledx000D
responsibly, they will provide new sources for fertilizing agricultural fields, save energy and resources, protectx000D
the environment, and divert waste from landfills.x000D
However, considering the volume and variety of waste batteries, automated systems require the ability to sortx000D
by chemistry in order to ensure proper recycling. Sorting results in better control over environmental outcomesx000D
as separated battery types can be processed by the best specialty recyclers using technology designed forx000D
recycling of specific battery chemistries.x000D
In this feasibility study project, we will investigate different ways to employ new technologies for improvingx000D
the efficiency and productivity of household batteries recycling. The core of our study will be to develop ax000D
reliable method for identifying different types of used button cell batteries using machine vision and Artificialx000D
Neural Networks (ANNs).