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awayenberg33 karma

Hi this is a very good question. Maintaining security and privacy of our customers is one of our top concerns and a continuous effort.

We will remove the “private parts” data at the firmware level. We will also give the user the possibility to anonymize other parts of their scans (like the face). This happens at the lowest possible level in the system making those concerns low.

IoT has been giving a bad rep lately mostly due because the stacks that are running on embedded devices are difficult to fix for vulnerabilities, especially if they are using a custom OS that does not receive fixes for vulnerabilities. We are using an embedded Linux platform that receive fixes for vulnerabilities and those fixes are continuously pushed to your ShapeScale.

Shape servers protect users' most sensitive data at rest using 256-bit AES keys and encrypt all data in motion with 128-bit AES SSL/TLS encryption or better.

Your data is broken up and tied to anonymous IDs, making it extremely hard for humans and extruders to tie your scanning data back to you. In addition, we take commercially reasonable steps to protect data that we collect through our Services against unauthorized access.

awayenberg11 karma

We are working on the before-and-after picture but we are working so hard it may be the other way around. Kind of an after-and-before if you want. Joke aside we intend to share stories of us in the future.

Martin /u/thirru still owes me a six pack, he is going to get it and you will see his shape transformation in our blog.

I’m getting pretty fat right now to show off some good transformation. Stay tuned.

We have been getting this question from disabled users, all their readings on traditional scales are off.

Because we use volume and density we can make it work. While this won’t be implemented on release, it’s a function that we will push through a software update.

Fitness is even more important for disabled people. They need to exercise to stay healthy. We care about that.

awayenberg7 karma

We have a lot of other applications in mind. Actually there are so many application that we will be looking at enable them through an API. We have actually thought about clothing, Tinder, Skin cancer (indeed need FDA for the alerting part), customized furnitures, VR / AR social networks, Mixed reality sports coaching, surgery, prothesis, etc

awayenberg7 karma

The name of the mannequin is Paul and it was inspired by Paul Graham from Y Combinator. I can tell you, he is an inspiration to all the startup founders, so you are definitely not f%$ing with him. Paul plays a lot with ShapeScale but he keeps getting frustrated not seeing any progress. The hard life of a mannequin.

awayenberg7 karma

Thank you for your interest and praise on the product, I hope we will count you one day as a happy customer.

I understand your concerns, many people (including us) have been burned by hardware startups failing and promising things that they could not deliver. That’s not us, we have spent a lot of time developing and making sure to deliver ShapeScale as it is described.

Our team has been working on a lot of hardware projects and products in various area such as development, manufacturing and selling. Martin and I even lived during several years in China spending countless hours on factory floors. Martin worked for Phonejoy and Ambi Climate. Both of them delivered on their crowdfunding campaigns. While I worked on Tittle light which also delivered their crowdfunding last year, uHoo, and several more established companies that have products on the market for years.

On the hardware side, while we have a ShapeScale scanning people, it is still a prototype. We still need to industrialize the product. This means that some parts need to be optimized for specific manufacturing processes (mainly plastic injections molding).

On the software side there are still challenges on automating some of the algorithms, especially for the visual feedbacks like heatmaps / timelapses that requires adjusting postures.

Some of the algorithm also need to be trained and validated with larger datasets which we will be working on during the beta program.

Regarding the export we are still considering different possible options and models, we definitely want to enable it. We just want to avoid abuse so it needs to be well thought.

Same thing for accessing historical data, it is being considered with some restrictions regarding abuses.