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AI/ML-Based Threat Classification and Tracking Software

Active
Canada

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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The contract involves the development of advanced machine learning models focused on identifying various types of drones, reducing erroneous detections (false positives), and enhancing capabilities for predictive tracking within a networked sensor system. This initiative aims to improve threat classification and real-time tracking accuracy by leveraging AI and ML technologies, ensuring effective monitoring and response against potential airborne threats. Issued by the Government of Canada's Department of Public Works and Government Services, this subcontract opportunity is categorized under the NAICS code 541512, which pertains to computer systems design services. Entities interested in participating must submit their proposals by June 24, 2026. The work will be conducted in Canada, with the overall goal of strengthening surveillance infrastructure through innovative software solutions tailored for drone threat detection and tracking.

General Info

Development of AI-driven drone identification and tracking models for Canadian government surveillance, proposals due June 2026.

Agency

Government of Canada → Department of Public Works and Government Services

NAICS

541512 - Computer Systems Design Services View NAICS

Place of Performance

Canada, CAN

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

Posted

subcontract

Response Deadline

Submission deadline

Response Deadline

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Organization & Contact Information

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AgencyGovernment of Canada → Department of Public Works and Government Services
ContactsNo contacts available
OfficeN/A
Organization / Agency
Government of Canada → Department of Public Works and Government Services
Office AddressN/A
ContactsNo contact information available

Full Description

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Development of machine learning models to classify drone types, reduce false positives, and enable predictive tracking across a networked sensor array.

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POSTED

in about 1 year

DEADLINE

N/A
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