With all of these human intervention required features, isn't it the same as installing or using existing cameras with remote monitoring? Unless you need the solution to be portable or use patrols it seems like that is a far less expensive option.
If they get the AI features as they are hoping it may change the value proposition. Of course, the same analytics and AI developed into cameras may level things back to the robot's original use case as a patrolling sensor.
isn't it the same as installing or using existing cameras with remote monitoring?
The potential advantage to this is that a patrolling robot is more likely to be accepted roaming some facilities than cameras installed in the same location. Picture an open office. You'd need a lot of cameras to cover the area and employee response to "being watched" on that level is generally quite negative. You would also need to install some way to talk back to the employee(s), which the robot provides.
Overall, it is likely cheaper to install cameras to do the same thing, and some of the fever screening systems claim mask detection (notably Dahua). It honestly is a question of whether it's appropriate for the company culture.
Looks like there could be a bunch of other applications outside of security, this is a good move on their part. How does this work? Are they direct sales, or do they use channel partners? I'm assuming someone is going to need to service these, and the electronics can't be very different from what integrator are accustomed to dealing with. It could be an opportunity to embrace the technology, rather than be threatened by it.
While the absolute utility of this solution (and many of the others we've seen recently) can be debated, I personally very much appreciate Cobalt's approach in this case. Specifically, they are largely nottouting all of the things that their solution can do autonomously, but rather are building upon the human observation element of their offering and stating that the "AI" versions will come later.
So many other companies are touting this analytic or that AI or somesuch deep learning, but the reality is that the stakes are simply too high in many of these cases to rely on unproven and sometimes inaccurate products. Kudos to Cobalt for not falling into that just to try and make a buck.