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Capability profile
ShovelSense uses machinery-mounted X-ray fluorescence sensors and orebody-specific analytics to classify bucket material during digging and send grade information to fleet-management systems for routing.
These describe the reviewed application scope, not confirmed deployments, released requirements or procurement eligibility.
A technology readiness level is not established by the reviewed public sources.
A specific maturity stage is not established by the reviewed public sources.
Commercial availability is not established by the reviewed public sources.
The publicly described Industrial sensing and data analytics offering may be relevant to monitoring or remote-operation use cases; this is a derived mapping for reviewer assessment.
Industrial sensing and data analytics may help teams working on Sovereign defence capability areas by contributing to detection and situational awareness, cyber and digital operations, and advanced materials and manufacturing.
This is a reviewed public-source assessment. It is not procurement eligibility, endorsement, customer interest, or classified demand.
These records support this capability and its published Mission area and Defence need connections. A source count is not a count of independent confirmations.
Source type: official company product
Supports: Capability · summary
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · commercial availability
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · technical tags
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · maturity
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · capability type
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · core features
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · core features
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · name
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · technical tags
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · technology readiness level
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · technical tags
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · core features
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · defence applications
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · technicaldomainslugs
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · defence applications
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · technicaldomainslugs
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Supports: Capability · core features
MineSense ShovelSense mounts high-speed X-ray fluorescence sensors on mining machinery, measuring bucket material during the dig cycle. Orebody-specific machine-learning processing produces grade/material classification and passes routing information to fleet-management software. It measures material composition, not underground imaging or autonomous vehicle control.
Source type: official company product
Supports: Capability · summary
The official capability material supports the named Industrial sensing and data analytics offering and the bounded operational description prepared for reviewer consideration.
Supports: Defence need · Sovereign defence capability areas
The official capability material supports the named Industrial sensing and data analytics offering and the bounded operational description prepared for reviewer consideration.
Department of National Defence · Mar 1, 2026
Source type: official policy
Supports: Defence need · Sovereign defence capability areas
Canada needs secure strategic autonomy and reliable access to capabilities that are critical to defending its sovereignty and meeting allied commitments, while reducing exposure to foreign supply-chain and intellectual-property dependencies.
Supports: Defence need · Sovereign defence capability areas
Reviewer synthesis of the public end state: Canada can build, sustain or control priority aerospace, ammunition, digital, in-service support, sensor, space, specialized manufacturing, training and uncrewed capabilities through domestic strength, trusted partnerships and sovereign access.
Public sources cited · Facts and assessments kept separate · Human review
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