Sensor Calibration Algorithm
FY26 · 75 evidence items · 82% claim readiness
Project summary
FlowForge developed a new calibration algorithm to improve sensor accuracy in unstable industrial environments where temperature, vibration, and signal interference caused inconsistent readings.
Technical uncertainty
The team could not determine in advance whether a filtering and recalibration approach could maintain acceptable accuracy across variable field conditions without creating unacceptable latency or false readings.
Working hypothesis
“If the sensor pipeline combined adaptive filtering with periodic recalibration against known reference points, the system may maintain reliable accuracy in noisy industrial environments.”
Claim readiness
Key figures
- Est. eligible spend
- $178K
- Evidence items
- 75
- Confidence
- High
- Documentation gaps
- 2
Evidence gaps
- Final field test report
- Team time allocation
Experimentation timeline
Jul 2025
Initial calibration issue identified
Jira
Aug 2025
Prototype filtering approach developed
GitHub
Sep 2025
Field test failed under vibration conditions
Drive
Oct 2025
Algorithm revised using adaptive thresholding
GitHub
Nov 2025
Second field test completed
Jira
Jan 2026
Performance improved but latency issue detected
Slack
Experimentation iterations
Static calibration table
Outcome
Failed under temperature variation
Evidence
Test Report TR-104
Adaptive filtering layer
Outcome
Improved signal stability but introduced latency
Evidence
GitHub commits, Jira ticket CAL-182
Hybrid recalibration model
Outcome
Improved field accuracy and reduced latency
Evidence
Field Test Report Q2
Supporting evidence (5 items)
View all evidenceTeam involvement
- Maya ChenML Engineer55% R&D time38 signals
- Liam BrooksProduct Engineer42% R&D time31 signals
- Daniel RossCTO18% R&D time18 signals
- Priya SinghQA / Test Lead35% R&D time22 signals
Eligible cost breakdown
$178K
Total estimated eligible expenditure
Confidence breakdown
Missing information
View all gaps- Confirm whether Project 1 activities were conducted in Australia
- Upload final field test results
- Confirm team member time allocation
- Canopy specialist will confirm eligible vs non-eligible activities
- Review contractor invoices for scope alignment
Figures update automatically as new evidence is connected. Your Canopy specialist will confirm all positions during claim preparation.