Downie Timber to add Edger BioVision with deep learning technology
Downie Timber of Revelstoke, B.C., is investing to upgrade its edger line with USNR’s BioVision technology. At its two-line sawmill the company processes primarily western red cedar, and also Douglas fir, spruce, and hemlock. Its high-value products demand exacting technology solutions to ensure the utmost in recovery.
The company’s goal with the edger line investment is to improve grade recovery, edging accuracy, and production throughput. The new equipment starts downstream from the existing unscrambler, with new backlog table, flitch loader, scanner transfer, tipple drop out, and Model 625 edger positioning infeed. A new scan frame will be fitted with 22 BioLuma 2900LVG vision sensors. The new optimization platform will use deep learning technology to improve recovery and increase uptime. The edger line will utilize the MillTrak lumber flow management system to maximize material flow to the edger. The new equipment is scheduled for commissioning in September.
Downie Timber’s edger line will add to the over 110 systems installed globally that are applying USNR’s vision-based grade optimization, with many now benefiting with the deep learning technology platform.
Learn more at www.usnr.com.