ML models mean Machine Learning models. Sorry I was not more clear about that. The article has been updated to reflect what ML stands for.
A niche example might be in an industrial application, for example, if an assembly line wants to train a camera to detect that a screw is missing in a specific piece of hardware that is coming off the assembly line. The idea is, AWS/its partners who specialize in making models can tailor one specific to your need to detect if a screw is missing from what's coming off the line. That is a more complicated/specific/niche analytic than, say, people counting or zone recognition, which basically every camera maker already offers off the shelf.
Let me know if that gives you a better sense of what Panorama is.
I'm wondering about your note regarding "way too expensive". Is that because you don't see value in this solution or are you comparing it to other options on the market?
Split responsibility is the problem I foresee. The end user still needs integration services for installs, but relies on Amazon for software issues? Or does Amazon sign up integrator partners for local support?
Amazon has signed up Stanley and Convergint for integration ("distribution and integration partners"). However, there is still the question of how well those integrators could handle these advanced software integrations.
I foresee a lot of issues if people think they can just plug this in, and magically turn their old, poorly positioned, noisy and low-fi feeds into useful analytics . There are just too many caveats when setting up analytics which makes this a risky proposition.
Greenfield installs where there's a need for analytics might work, but I am not sure about the TCO vs just getting a better HW for a VMS with decent analytics (do they exists?).
1) AWS is behaving like an ai-software aggregator for the market- but their value isn't ai, HW or even cloud.. it's pure market reach. The bad news for participating vendors is Amazon has reportedly used programs like these for market research to develop their own competing products.
3) Big Tech. It's concerning to have this data being logged in the AWS cloud. My concern would be that AWS wants your customers' data.
Example: Amazon's Ring reportedly collects product use data, but also collects which devices (iphone, andriod,) a user uses to interact with it, and potentially what other devices are on the same network. Hmm.
Now - put Panorama in that context: are you comfortable having your retail customers' "retail Insights" results running through AWS (the largest online retailer in the world) servers? I would tend not to go this route.
Amazon AWS "may"= Big brother. " Hi we would like to offer you this super great product with many features (some of these features being açcess to your "everything"). I imagine they gain access to your imagery and metadata outside of "for purely analytic application feature purposes" ( I guess "analytic access" would need to be defined). Has a creepy feeling to it AWS...
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Comments (13)
Sean Nelson
12/08/20 05:27pm
What are "ML Models"
And what would be a niche case example this could be used on. Im still slightly confused what the heck this is.
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Dwayne Cooney
This looks like a game changer... very promising.
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Undisclosed Manufacturer #1
Nice idea but too complicated and way too expensive
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Undisclosed Manufacturer #3
Split responsibility is the problem I foresee. The end user still needs integration services for installs, but relies on Amazon for software issues? Or does Amazon sign up integrator partners for local support?
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Morten Tor Nielsen
12/09/20 07:34pm
What is IPVMs position on this pricing model? ;)
I foresee a lot of issues if people think they can just plug this in, and magically turn their old, poorly positioned, noisy and low-fi feeds into useful analytics . There are just too many caveats when setting up analytics which makes this a risky proposition.
Greenfield installs where there's a need for analytics might work, but I am not sure about the TCO vs just getting a better HW for a VMS with decent analytics (do they exists?).
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Tom Burns
I see a couple of separate points to make here:
1) AWS is behaving like an ai-software aggregator for the market- but their value isn't ai, HW or even cloud.. it's pure market reach. The bad news for participating vendors is Amazon has reportedly used programs like these for market research to develop their own competing products.
2) Why introduce another point of failure (which happens)? AWS storage is only for the ML algorithm and settings. Nvidia has a similar program- but it's not cloud based. Link: Amazon details cause of AWS outage that hobbled thousands of online sites and services - GeekWire
3) Big Tech. It's concerning to have this data being logged in the AWS cloud. My concern would be that AWS wants your customers' data.
Example: Amazon's Ring reportedly collects product use data, but also collects which devices (iphone, andriod,) a user uses to interact with it, and potentially what other devices are on the same network. Hmm.
Now - put Panorama in that context: are you comfortable having your retail customers' "retail Insights" results running through AWS (the largest online retailer in the world) servers? I would tend not to go this route.
Links: Amazon's Ring logs every doorbell press and app action - BBC News - SamfordCrimson News
Links: Amazon faces backlash over using Sidewalk for neighborhood networks - Business Insider
Links: *privacy not included - Ring Video Doorbell
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Undisclosed Integrator #4
Tom Burns; very well thought out.
Amazon AWS "may"= Big brother. " Hi we would like to offer you this super great product with many features (some of these features being açcess to your "everything"). I imagine they gain access to your imagery and metadata outside of "for purely analytic application feature purposes" ( I guess "analytic access" would need to be defined). Has a creepy feeling to it AWS...
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