AI pose detection, specifically built to facilitate a smooth integration of MSK rehab platforms to empower personal physical therapists. Abto’s technology is meant to transform virtual physical therapy care by using a live video stream, from a mobile or PC camera and advanced AI techniques to replace bulky sensors and accurately perform complex analyses to empower physical therapists. No additional hardware or software is required. A custom real-time AI-based human body motion analysis technology for MSK rehabilitation therapy.
ABTO AI-Based Pose Detection's answer
Computer Vision
ABTO AI-Based Pose Detection's answer
Healthcare business with telemedicine platforms needed automation for remote physical therapeutics services
ABTO AI-Based Pose Detection's answer
Amid the COVID-19 crisis, telehealth surged to 80% adoption in hard-hit areas (ASPE). Patients shifted to online therapy. AI-powered motion capture now enhances remote physical therapy. Traditionally, in-person therapy required markers, costly cameras, and trained staff. Today, smartphones and AI offer real-time, markerless motion analysis.
ABTO AI-Based Pose Detection's answer
Healthcare businesses and physical therapeutic practitioners who value data analysis, correct diagnosis impact, their time, time of their patients.
ABTO AI-Based Pose Detection's answer
No markers or sensors, only personal PC or mobile phone camera.
ABTO AI-Based Pose Detection's answer
The business value of our telerehabilitation software: - 150% ROI; - 5 hours saved by therapists per week; - 27% faster patients recovery; - 1.6 times more patients.
Based on our record, DALL-E seems to be more popular. It has been mentiond 197 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
OpenAI's livestream of GPT-4o Image Generation shows that it is slowwwwwwwwww (maybe 30 seconds per image, which Sam Altman had to spin "it's slow but the generated images are worth it"). Instead of using a diffusion approach, it appears to be generating the image tokens and decoding then akin to the original DALL-E (https://openai.com/index/dall-e/), which allows for streaming partial generations from top to... - Source: Hacker News / 2 months ago
I find Dall-E especially useful for creating illustrations to put in the headers of articles that help catch readers’ attention, and generally create blog content that stands out more to readers (and search engines). You can see examples of illustrations and the prompts used to create them on OpenAI's site (https://openai.com/research/dall-e). While it's not my space, this could be a gamechanger for those doing... Source: about 2 years ago
SD is difficult for a beginner, but if you want, I can recommend the Unstable Diskord Disfusion server there are many guides as well as NSFW image or utube videos, if u try SD I recomended download model from CIVITAI And we have a lot of free AI gen site: Https://hotpot.ai/art-generator Https://leonardo.ai/ Https://openai.com/research/dall-e. Source: about 2 years ago
This Lambda function is similar to the previous one. We use the recipe name that createCompletion API has generated in order to create an image from it by calling createImage (this API uses DALL-E models for image generation) :. - Source: dev.to / about 2 years ago
Then you look at google's SayCan and it looks about as capable now as Dalle1 did for art last year. Source: over 2 years ago