One use for AI: Keeping an eye out for forestry hazards

I visited my brothers' tree farm in Missouri last week, in time to help clear storm damage by operating their Cat skidsteer. Storm: as in a likely F1 tornado in early May that toppled many dozens of big trees on their property. First priority was to open the roads, followed by salvaging hardwood saw logs. 

This is me climbing into the cab after chaining a log onto the road, taking care not to trip on the grapple. Tripping here would be a good way to break a leg. 

Here's how their road looked before being fully cleared: A tangle similar to what big woods loggers called "slash." The biggest logs of white oak and walnut were close to three feet in diameter, disease-free and more than 150 years old. 

But logs weighing a ton or two aren't easy to salvage in this location. This was a steep hillside, dense with brush and rock outcrops. The cut log below reflects the slope angle. 

Note the tangled nature of the downed trees. My brothers have years of experience with chain saws and their risks, but commented that clearing trees in this setting poses a bigger danger than the saws themselves. And it can be hard to monitor those dangers, which make logging one of the highest-injury jobs in the country.

Consider that when cutting a log, the operator at the Stihl is watching the saw-cut closely, wary of several things. Often a fallen log requires an undercut, bringing the bar close to chain-damaging rocks. More pressing: is the log under a force that will send something rolling or flying when cut? Will it settle and bind the bar, or worse, catch the tip of the bar, flipping the saw backward?  

Given the need to pay attention at close range, it can be hard to see what might threaten from above or from a few yards to the side. 

Overwatch could be a useful job for an AI- and LIDAR-equipped phone once those are capable of real-time visual processing. Such a tripod-mounted phone could warn about initial shifting of what loggers call a widow-maker, a broken tree that's hung up on a standing tree, and ready to fall during logging operations. With knowledge of tree physics, it could warn that a branch has come under terrific compression and will lash out when cut. 

A person could do this job, but in my limited experience with small-scale logging, there's so much to do that nobody's available to do the overwatch job, however important.