mrafiee

Congrats on the launch. Looks great! Do you envision this being used as the primary IDE or just for quick changes/tweaks while the main development is done on a standard IDE eg VSCode?

This is a novel computer vision framework with two unique capabilities:

1- it can learn very complex visual events (beyond object detection.)

2- it needs only a few samples to learn an event of interest.

This allows users to train models for any event of their interest easily. We have been primarily focused on event detection for consumer surveillance cameras but are also exploring use cases in other verticals and believe this technology can benefit any labor-intensive monitoring task by providing a versatile and resilient platform for automation. We would appreciate any feedback and if you have any thoughts on any specific consumer, commercial or industrial applications, we would love to hear about them.

Thanks for sharing. Yes we are aware of them. I’d like to know more about what you’re doing. Please shoot me an email if you’d like to talk: rafiee at visualone dot tech

By 4FPS do you mean 250ms latency per frame? What OD model specifically did you get that latency from on RPi4?

Thank you!

I agree storage should not be as expensive. I think many companies use that as a leverage to make users pay a subscription fee (due to lack of services that’d compel users to subscribe.) We are finalizing our privacy policy and will add ASAP. We are not using users data for trading models for other users currently but we do use their feedback on the alerts to improve the models for their own events.

We are using some publicly available data and have labeled some data ourselves. We are not using users data for training currently.

I agree the idea is not unique at a high level but this is an unsolved and difficult problem. We are building a solution block by block. The only event detection features Nest is offering is person detection, unfamiliar face detection, facial recognition.

Thanks for the feedback. We have made it a high priority to add more details to our website asap.

Thank you :) That is a great point. Yes in the consumer space the monthly subscription fees are mostly in the $5-$10/month range and that's why we decided to go with $7 but for SMB applications we will set the price higher (with more features.)

Great. I will follow up with you. Thanks!

Thank you! We are now exploring consumer and SMB but may also look into B2B use cases more closely at some point. If you know of any good b2b use case, please do let us know.

That is a great analysis. I completely agree with everything you said. We are currently targeting consumer and SMB use cases and not enterprise/large scale applications at the moment. Thank you!

please note that the url you get is random and only people you share it with would have access. Also you can change/invalidate it anytime.

I see your point and appreciate the feedback. The main issue with local only is having it to work reliably on different types of hardware would be a major undertaking itself (aside from the technical restrictions that come with it) and would not allow us to focus on building the AI...

Thanks for sharing.

Our main value prop is more powerful event detection capabilities that what anyone else is offering (and at a lower price.)

yes but a random url that you get is private (only people you share it with would have access) and you can change/invalidate it anytime.

That is a great suggestion and is indeed our plan even though we are also offering our cameras now :) Thanks!

Thanks for sharing. Sounds pretty cool. We will look into it!

Thanks for the feedback. Our cameras have local storage but we do the inference on the cloud. Our main value prop is more powerful event detection features beyond what Nest is offering (Ring is not really offering any as of now.) and at a significantly lower price...

That is a valid point. We will think more deeply about these. Thanks for the feedback.

Thanks for the feedback. What are you using the cameras for?

Thanks for sharing. I need to look more closely but on a brief look it seems the only event detections they are offering is person detection, car detection and people count...

That is a very interesting use case with everything that is happening right now. We are exclusively focused on computer vision but I agree that would be very valuable for a situation like this.