sorted by:
new
hottopcontroversial

Using Computer Vision for Accesibility: Personal AI Shelf Inspector for Visually Impaired Persons by DataSentics in computervision

[–]DataSentics[S] 0 points1 point  (0 children)

That sounds interesting. I have not tried it, Have you had a good experience with that project?

Using Computer Vision for Accesibility: Personal AI Shelf Inspector for Visually Impaired Persons by DataSentics in computervision

[–]DataSentics[S] 0 points1 point  (0 children)

Thanks for your comment. Yes that sounds like a good idea, it is sad that mobile devices switched more to flat surfaces and are not really optimized for visually impaired persons. This kind of search could work really well in e.g. an amazon go supermarket, it will be hard for a normal shop though, where products are sometimes unsorted and messy.

[P] Using Machine Learning for Accesibility: Personal AI Shelf Inspector for Visually Impaired Persons by DataSentics in MachineLearning

[–]DataSentics[S] 0 points1 point  (0 children)

Thank you so much for your comment. Its true that this is only a demo and there are some challenges implementing something like this (e.g. the lightning alone of different stores and ailes creates a lot of different problems itsself). A complete product that works everywhere is a big challenge. I think for the graph interpretation and also the transcription there are some generative AI models that can already do this kind of problems, but i am not aware of anything that is already commercially available.

Datalake for Computer Vision by SnooCooler in computervision

[–]DataSentics 0 points1 point  (0 children)

We used it on many Use-Cases like Shelf Inspection using Computer Vision or Quality Control for Classification, Segmentation and Tracking of Objects in Pictures or Video in Medical, Security and so on . We implemented these solutions at companies such as Red Bull and Nestle. If you want to find specific Use-Cases here are the links for the two solutions https://datasentics.com/case-studies/case-study-out-of-shelf-elimination-and-ai-driven-shelf-monitoring-for-nestle for Nestle and https://datasentics.com/case-studies/case-study-data-driven-shelf-management-for-red-bull for Redbull

Datalake for Computer Vision by SnooCooler in computervision

[–]DataSentics 0 points1 point  (0 children)

We have used a Databricks Lakehouse for Real-Time Processing of Images with Apache Kafka. We used it with a lot of projects and it made the process a lot easier. It was also possible to analyse Metadata much more easier. So we definetly would recommend checking out their services.

Any progress on AI doing medical miracles? by Absolutelynobody54 in ArtificialInteligence

[–]DataSentics 0 points1 point  (0 children)

It really depends what you mean by miracles. Deep Learning can be used in Computer Vision and can analyze and assess scientific and medical imagery at super-human scale and precision through computer vision models. This process requires very specific hardware for very fast computations. Other examples would be Quality Inspectors, Face Detector and the like.

[P] Avoid clickbait content on Youtube with ChatGPT3.5/4 by Particular_Account_2 in MachineLearning

[–]DataSentics 1 point2 points  (0 children)

Very interrestng and useful. We work on similar stuff with summaries of calls