Dogs don't work very well in urban areas and there's plenty of tricks to throw dogs off your trail.
Dogs don't work very well in urban areas and there's plenty of tricks to throw dogs off your trail.
I'd like to see your tricks for dealing with 100,000 such sensors, one on every street corner.
(also: https://www.canidae.com/blog/2015/10/can-you-throw-off-a-tra...
"In fact, Adam found that it was basically impossible to throw off the scent of a Bloodhound. He crossed a 100 foot wide, waist high river. He changed clothes, poured cologne and coffee on himself, threw smelly fish along the trail and used scent enzyme erasers to try to eliminate his scent.")
May the odds be ever in your favor!
Cheaper than dog noses, but requires a sample of the target odor and some training time. It is conceivable that the "most wanted" could each have thousands of bees trained on their scents, and then those swarms could be divided up onto plastic cassettes, which would each be loaded onto a lamppost. If the targets go near any lamppost, their bee in it tattles its location in real time. The disadvantage is, of course, that you have to go around swapping out old and dead bees for live, fresh ones all the time.
An electronic nose can just report its odor profile, and a central processing server can attempt to match and track targets. All that needs is a bit more bandwidth. But it is likely slower and lacking specificity. You could likely smell explosives or bomb making residues or gunshots or narcotics, but not specifically track Suspect X across the city. That kind of precision would require that people line up at the lamppost to be swabbed, and their swab vaporized and run through a gas chromatograph for a minute or two, which I don't see happening, even in authoritarian Singapore.
Misdirection and decoys. How much use are those sensors if they're all detecting you at the same time?
If they become prevalent enough, I could imagine the development of "scent bombs" that would spew out so much of your odor that the sensors for miles around would all detect "you."