Challenge
C++ data processing library for forest harvesting equipment measurement analysis.
Cases
Forestry Equipment Data Platform
C++ data processing library for forest harvesting equipment measurement analysis.
System
C++20 CMake SQLite spdlog cpp-httplib GoogleTest
Outcome
Dashboard Optional HTTP API + web UI
Language C++20
Pipeline stages 5 (parse, validate, align, predict, store)
Storage SQLite persistent profiles
Handoff
High-performance C++ library for processing measurement data from forest harvesting machines. Multi-stage pipeline: parsing, validation, alignment, prediction and persistent storage with optional web dashboard.
Challenge
A forestry company needed automated data processing for harvester measurements.
What we delivered
- C++20 library with 5-stage pipeline
- Sensor artifact handling and data validation
- SQLite persistent storage
- Optional web dashboard
Outcome
Manual hours of processing now run in seconds with automated quality checks.
Need a similar outcome?
Case studies show delivery shape, but the next step is translating that shape into your business context, integrations and launch constraints.
A useful first discussion is not about copying the exact project. It is about understanding what part of the result matters for your company and what should change in scope, architecture or delivery model.
That is where NDDev usually saves clients the most time.