Case Study # eWoodMeter case study [eWoodMeter](https://ewoodmeter.com/) is a wood measurement product family we built for the yard, the mill, and the forest. **LumberMeter** cubes sawn timber and board stacks. **TimberMeter** cubes logs and raw wood. Both ship on iOS and Android from [ewoodmeter.com](https://ewoodmeter.com/). Capture stays fast in the field — Bluetooth, keypad, or photo scan — then volumes sync to the office. Internet is not required while measuring; Excel export and packing lists wait until you are back online. Facts you can cite Product eWoodMeter — LumberMeter (sawn timber) and TimberMeter (logs) for field measurement Stack Flutter, Bluetooth, offline capture, Excel export — iOS and Android Studio CodeLoop Studio, Sarajevo. Hardware-shaped mobile product, not a brochure MVP. Live ewoodmeter.com — both stores when listed Tools used: * Flutter * Bluetooth * Custom UI kit * Machine learning * Excel export * Forestry Domain [Visit eWoodMeter](https://ewoodmeter.com/) ![LumberMeter home on a phone — professional wood measurement, Bluetooth and license](https://www.codeloop.ba/_next/image?url=%2Fimages%2Fwoodmeter%2Flumbermeter-home.png&w=3840&q=75) LumberMeter ![TimberMeter home on a phone — professional wood calculator, network and license](https://www.codeloop.ba/_next/image?url=%2Fimages%2Fwoodmeter%2Ftimbermeter-home.png&w=3840&q=75) TimberMeter ## Product overview On the forest road, in the mill, or in the warehouse, [eWoodMeter](https://ewoodmeter.com/) replaces notebooks and scattered calculators. Real-time cubing, fewer manual errors, a full measurement record, and data that can reach the office in seconds. LumberMeter is built for processed boards; TimberMeter is built for individual logs — same product family, two field jobs, both on [ewoodmeter.com](https://ewoodmeter.com/). ## Challenge and goals Field work often depends on manual notes and fragmented tools, which slows teams and increases the chance of data inconsistencies. The challenge was to make volume capture both fast and reliable in real operational environments. We focused on usability in rough conditions, clear step-by-step inputs, and outputs that are immediately useful for office teams and decision makers. ![WoodMeter — challenge and goals visual](https://www.codeloop.ba/images/woodmeter-challenge-visual.svg) ## Target audience * Sawmills and yards cubing sawn timber and board packs with LumberMeter. * Forestry crews measuring logs and raw wood with TimberMeter. * Operators who need Bluetooth or keypad capture that still works offline. * Office teams who want Excel reports, packing lists, and species totals. * Companies replacing paper logs with a digital wood measurement app from [eWoodMeter](https://ewoodmeter.com/). ## How we built it Both apps are Flutter on iOS and Android, so a yard and a forest crew share one workflow. The hard parts lived in LumberMeter: talking to measuring hardware the vendor only documented as native SDKs, designing a kit operators can use with gloves on, and teaching the camera to count a board stack. TimberMeter is the companion for logs. Measurement stays offline; Excel and sync wait until the connection returns — the same product family as [ewoodmeter.com](https://ewoodmeter.com/). ### LumberMeter — boards, packs, and the hardware in between Sawn timber is cubing, not guesswork. Operators capture width, length, class, and piece ID in the yard, then leave with a packing list instead of a notebook. * Bluetooth, reverse-engineered for Flutter The measuring devices shipped native Android and iOS libraries only. We reverse-engineered the Bluetooth protocol and wrote a Flutter plugin so both platforms share one connectivity stack — same pairing, same live capture, no forked native apps. * A full custom UI kit Every screen is a kit we designed for the yard: large keypad targets, high contrast in sun, and a flow that works one-handed. Nothing was dropped in from a generic component library. * Save locally, export to Excel Lists persist on the device. When the operator is back online, the same data fills a predefined Excel template — packing lists the office already knows how to open, not a CSV they have to reformat. * Photo scan trained on 5,000 boards We trained a machine-learning model on 5,000 images of lumber pieces, then wired it into the app so a photo of a wood stack can be analysed in the field. Detection lands around 95% on a typical pack — enough to start from a scan instead of counting every board by hand. ![LumberMeter measurement screen with width, length, piece ID and class](https://www.codeloop.ba/_next/image?url=%2Fimages%2Fwoodmeter%2Flumbermeter-measure.png&w=3840&q=75) ![LumberMeter board table with thickness, length, width and volume plus keypad](https://www.codeloop.ba/_next/image?url=%2Fimages%2Fwoodmeter%2Flumbermeter-table.png&w=3840&q=75) ![LumberMeter list exporting measurement data to an Excel API](https://www.codeloop.ba/_next/image?url=%2Fimages%2Fwoodmeter%2Flumbermeter-export.png&w=3840&q=75) ### TimberMeter — logs, species, and cubic metres TimberMeter is the log side of the same family. Crews enter length, diameter, species, and class, group pieces into containers, and get cubic metres without a separate calculator. Settings cover language, units, auto-save, and the account that later syncs the day's work. Same custom UI kit as LumberMeter, same offline-first habit: measure in the forest, export when you are back in range. Both apps ship from [ewoodmeter.com](https://ewoodmeter.com/). ![TimberMeter log entry with length, diameter, species, class and cubic metres](https://www.codeloop.ba/_next/image?url=%2Fimages%2Fwoodmeter%2Ftimbermeter-logs.png&w=3840&q=75) ![TimberMeter settings with auto-save, language, units and account](https://www.codeloop.ba/_next/image?url=%2Fimages%2Fwoodmeter%2Ftimbermeter-settings.png&w=3840&q=75) ## Live website Current public landing page for eWoodMeter. Click the viewport to open the live site. [ewoodmeter.com](https://ewoodmeter.com/ "Open eWoodMeter")Live snapshot [Open live site](https://ewoodmeter.com/) ## Conclusion [eWoodMeter](https://ewoodmeter.com/) turns field cubing into records the office can trust — LumberMeter for boards, TimberMeter for logs. Behind that is a Flutter Bluetooth stack we had to reverse-engineer, a custom UI kit, Excel templates, and a photo-scan model trained on 5,000 lumber images. See the live product at [ewoodmeter.com](https://ewoodmeter.com/). [PREVIOUS](https://www.codeloop.ba/study-case/koliko)[NEXT](https://www.codeloop.ba/study-case/cijene)