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Grant Award View - GA107705

Identify if artificial intelligence (AI) and deep learning (DL) models...

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GA ID:
GA107705
Agency:
Department of Infrastructure, Transport, Regional Development, Communications and the Arts
Approval Date:
15-Jun-2020
Publish Date:
12-Aug-2020
Category:
Transport
Grant Term:
20-Jul-2020 to 31-Dec-2022
Value (AUD):
$213,349.40 (GST inclusive where applicable)

One-off/Ad hoc:
No
Aggregate Grant Award:
No

PBS Program Name:
ITCRDCA 19/20 Program 2.2 - Road Safety
Grant Program:
Road Safety Innovation Fund Round One Open Round 2020
Grant Activity:
Identify if artificial intelligence (AI) and deep learning (DL) models can be applied to thermal imaging data, to identify brake defects in heavy vehicles on Australian roads
Purpose:

While all heavy vehicles need to enter a Heavy Vehicle Safety Station (HVSS), only a very small percentage are selected for further screening. Similar to other road safety initiatives, such as random breath testing, the heavy vehicles that are identified for more detailed inspection are selected on a semi-randomised basis. The use of thermal imaging technology as a preliminary screening tool could enable a more targeted approach for inspections to be conducted. This can improve the efficiency of inspection personnel and dramatically increase the number of defects detected.


GO ID:
GO Title:
Road Safety Innovation Fund – Round 1
Internal Reference ID:
345
Selection Process:
Open Competitive

Confidentiality - Contract:
No
Confidentiality - Outputs:
No

Grant Recipient Details

Recipient Name:
Industrial Monitoring & Control Pty Ltd
Recipient ABN:
51 143 357 466

Grant Recipient Location

Suburb:
Carrington
Town/City:
Newcastle
Postcode:
2294
State/Territory:
NSW
Country:
AUSTRALIA

Grant Delivery Location

State/Territory:
NSW
Postcode:
Country:
AUSTRALIA

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