Every sawyer who ever rolled a log onto a carriage has faced the same question: what should this log become? For most of history, the answer lived in one place — the sawyer’s head. For the last sixty years, the industry has been moving that answer into machines, one technology generation at a time. Today, essentially every stick of dimensional lumber you can buy was cut by a decision a computer made from a scan. Here’s how that happened — and what happened in 2026.
1960s — The first electronic eyes
The first log scanners appear in Scandinavia, built to scale and sort raw logs: photocells and shadow measurement, a light on one side of the conveyor and detectors on the other, reading a log’s diameter from the shadow it casts. By the 1970s, trade retrospectives record that practically every mill in the Nordic countries sorted logs this way. In North America, LED shadow scanning and photo-electric carriage scanning follow — with a very mill-specific problem: sawdust and bark coat the sensors, and photocells need constant cleaning. That housekeeping problem will eventually hand the job to lasers.
1971 — The idea that started optimization: Best Opening Face
The intellectual foundation of every sawing optimizer comes not from a machine company but from public research. In 1971 the USDA Forest Products Laboratory in Madison, Wisconsin publishes Research Paper FPL-166 — Hallock and Lewis, “Increasing softwood dimension yield from small logs: best opening face.” The insight: sawing is a geometry problem. Where you put the very first cut — the opening face — cascades through everything the log can become. The research literature that grew from the BOF program put the recovery gain from getting that first decision right at roughly 5 to 10 percent on typical small logs.
Every optimizer running today, including ours, is a descendant of that paper.
1971–1985 — The machinery companies wire up
The same years, the companies that would build the industry’s nervous system take shape:
- 1971 — Dr. Andy Porter founds Porter Engineering in Richmond, BC, in the era when hydraulic setworks are just beginning to appear in sawmills. The firm evolves into primary-breakdown scanning and optimization — its real-time systems RT² (“Real Time for Real Trees”) and later RT³ — and remains an independent, employee-owned specialist to this day.
- 1980 — Microtec is founded in Bressanone, Italy, and in 1985 logs a dated milestone for laser triangulation scanning: project a laser line on the log, watch it with a camera, and compute the surface from the displacement. Triangulation goes on to become the dominant sensing principle in mill scanning — and unlike photocells, lasers shrug off the dust.
- Meanwhile in Salmon Arm, BC, a company that began in 1912 as William Newnes’ blacksmith shop — run by his son and then his grandsons — grows through the 1980s from mechanical mill equipment into optimization and controls, on its way to becoming one of the biggest names in the field.
Late 1980s — LiDAR arrives, by way of Detroit
Here’s the timeline’s best-kept secret: the first lidar-class scanner in sawmilling wasn’t built for sawmills at all. In the late 1980s, Perceptron Corporation of Farmington Hills, Michigan builds LASAR — a time-of-flight laser radar — as machine vision for Ford Motor Company’s manufacturing lines; one account has it first demonstrated on a pile of exhaust manifolds. A 1994 optics-society paper describes the sensor precisely: a time-of-flight, amplitude-modulated laser radar, raster-scanned across the scene, making a true range measurement at every pixel.
That’s a different animal from triangulation. Triangulation infers shape from parallax; time-of-flight measures how long light takes to come back. If the second one sounds familiar, it should — it’s the same sensing principle as the LiDAR scanner in a modern iPhone.
Perceptron sells LASAR (alongside its triangulation-based TriCam line) into forest products through the 1990s; trade coverage confirms installations by 2000. And on September 1, 2002, USNR acquires Perceptron’s forest-products business — LASAR included — for approximately $5 million. The sensor survives today as USNR’s Lasar2, scanning up to 300 degrees of a log in a split second from a carriage or end-dogger — no need to drive the log through a scan zone. We’ve stood at the operator’s station of a LASAR-equipped mill ourselves; it is a remarkable machine.
1990s–2000s — Optimization takes over the whole line
- Mid-1990s — Newnes combines with California’s McGehee Equipment; the combination helps drive curve sawing — cutting along a log’s natural sweep instead of fighting it — plus transverse and lineal high-graders and full optimization suites.
- 1995 — Microtec brings the first multi-sensor 2D X-ray scanner to market: the first commercial look inside the log, at the knots.
- 1999 — Joey Nelson, who cut his teeth building the L-51 laser scanner, founds JoeScan in Vancouver, Washington with a stated mission of making mill scanning simpler, more reliable, and more affordable. The first JS-20 scan head goes onto a bucking line at Galloway Lumber in 2002. The company reports its heads now run in over 400 sawmills on six continents — still independent, still a 16-person shop.
- 1999 — Microtec applies neural networks to scan-image processing, a quiet first for what the industry now calls AI grading.
- 2001 — per Microtec’s company history, the first Lucidyne GradeScan automated lumber-grading system is installed at Seneca Sawmill in Eugene, Oregon.
2000s–2020s — Seeing inside, and consolidation
- 2008 — USNR acquires Coe Newnes/McGehee, folding the Salmon Arm optimization lineage into the largest equipment company in the industry.
- 2008–2011 — Microtec presents CT Log, the first true computed-tomography scanner for logs — unveiled at a Freiburg research institute in 2008 and formally launched by 2011 (Microtec’s own history gives both dates). A sawmill can now see every knot and the pith before the first cut.
- 2013 — Quebec’s Comact — a company whose roots go back to Jos. Coté Inc., founded in the Beauce in 1924 — becomes part of the BID Group. In September 2024, BID Group takes its subsidiary’s better-known name and rebrands entirely as Comact.
- 2015 — LMI Technologies of Burnaby, BC — formed in the late 1990s from a merger of six sensor companies, maker of the Gocator 3D smart sensors used across mill lines — becomes part of the Netherlands’ TKH Group.
- 2020 — Microtec acquires Lucidyne, putting the GradeScan lineage under the same roof as CT Log.
- 2021 — USNR and Wood Fiber Group are acquired and merged by private-equity firm One Equity Partners, a combined business with projected revenue north of $500 million a year. Scanning and optimization is no longer a niche — it’s the industry’s backbone, and it trades like it.
What it costs — and what it returns
The economics explain the adoption. On the return side: the founding research put opening-face optimization alone at 5–10% recovery; vendors today claim more — USNR materials cite 8–15% recovery improvements, Microtec claims value uplifts from 5% to beyond 20% with CT scanning — vendor numbers, but directionally consistent with fifty years of mills voting with their capital budgets.
On the cost side, this has always been industrial-scale money. A current entry-level automated scanning-and-optimization sawmill line (Alliance Automation’s “Urban Sawmill”) lists at roughly $850,000 new. A European scanning-plus-optimized-crosscut line lists at €759,000. Full CT installations run well into the millions. Even on the used market, a single current-generation scan head fetches over a thousand dollars — and a used Lasar2 is a collector’s item that still finds industrial buyers.
At that price, the technology went exactly where you’d expect: to the biggest producers first, then to every mill that could pencil it out. Which turned out to be all of them.
The adoption ledger
Consider who cuts the world’s lumber. Company-reported capacities (2023–2025 vintages, rounded):
| Producer | Approx. lumber capacity |
|---|---|
| West Fraser | ~6.8 billion board feet |
| Canfor | ~6 billion board feet |
| Weyerhaeuser | ~5.6 billion board feet |
| Interfor | ~4.7 billion board feet |
| Sierra Pacific | ~3.3 billion board feet |
| Hampton Lumber | ~2.2 billion board feet |
| Tolko | ~2 billion board feet |
| Stora Enso, SCA (Europe) | ~6+ million m³ combined |
Every one of these companies runs scanned, computer-optimized breakdown — that’s simply how mills of this scale are built, and the vendor names above are who builds them. Just the ten producers we could put verified numbers to account for roughly 85 million cubic meters of annual capacity against a world sawnwood total of about 445 million cubic meters (FAO, 2023) — roughly one-fifth of the entire world’s lumber, a quarter or more of its softwood. And that’s a floor, not a ceiling: it excludes Georgia-Pacific and most of Europe and Asia only because we couldn’t verify their totals, not because their mills scan any less.
For fifty years, the pattern held: if you cut serious volume, you cut with scanning and optimization. If you didn’t, you guessed.
2026 — The split in the timeline
This year, the pattern broke — in a good way.
The same time-of-flight laser ranging that Perceptron built for Ford, that USNR bolted to carriages, now ships inside phones. And with LogScanner and Log Master, the whole stack — 3D log scanning, opening-face optimization, cut sequencing sized to your mill, your products, and your prices — runs on an iPhone or iPad, for the price of a couple of saw blades a year instead of a capital budget line.
For the first sixty years of this timeline, the question “what should this log become?” got a computed answer only if you cut millions of board feet a year. From 2026 on, it gets one for anyone with a phone and a log — the weekend sawyer with a $3,000 mill runs the same class of decision-making as the mills cutting a fifth of the world’s supply.
Timelines don’t usually announce their permanent entries, but this one is easy to call. Scanning and optimization for the masses is not a product cycle; it’s a standard — and standards like this, once set, exist until the end of time.