Grants and Contributions:

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Title:

Spatiotemporal Computer Recognition Based on Multimodal Imaging

Agreement Number:

921943

Agreement Value:

$75,000.00

Agreement Date:

Jan 7, 2019 - Apr 12, 2019

Description:

We are seeking to develop a flow-based computer vision algorithm to support our ‘electronic guide dog’. This algorithm will allow our system to not only recognize objects, but determine the rate of speed at which objects are approaching, and further determine what kind of obstacle is upcoming. For example, without flow, computer vision systems will recognize an escalator as stairs, and a moving walkway as a floor. With a flow-based computer vision algorithm, we will be able to distinguish between stairs and escalators, and provide feedback to help visually impaired people gauge the level of caution required. This will improve the safety of the visually impaired, detecting obstacles a guide dog cannot.

Organization:

National Research Council Canada

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

Location:

Toronto, Ontario, CA M5A 1B2

Reference Number:

172-2018-2019-Q4-921943

Agreement Type:

Contribution

Report Type:

Grants and Contributions

Recipient Business Number:

733816094

Recipient Type:

For-profit organization

Recipient's Legal Name:

Crater Labs Inc.

Federal Riding Name:

Toronto Centre

Federal Riding Number:

35108

Program:

Industrial Research Assistance Program – Contributions to Firms

Program Purpose:

Coverage:

IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation.

NAICS Code:

511211