Noah  Rowe

Noah Rowe

1597010760

OpenCV Spatial AI Competition Journey

OpenCV Spatial AI Competition

Recently, the people at OpenCV launched the OpenCV Spatial AI competition sponsored by Intel as part of OpenCV’s 20th anniversary celebration. The main objective of the competition is to develop applications that benefit from the features of the new OpenCV AI Kit with Depth (OAK-D). The competition consists of two phases, the winners of the first phase were able to obtain an OAK-D for free to develop their application and the second phase winners will receive a cash prize of up to $3,000.

The OAK-D contains a 12 MP RGB camera for deep neural inference and a stereo camera for depth estimation in real time using Intel’s Myriad X Vision Processing Unit (VPU).

If you want to know more about the OAK-D, make sure to check theinterview by Ritesh Kanjee to Brandon Gilles**,**who is the Chief Architect of the OpenCV AI Kit.The kit has raised over $800,000 as part of their Kickstarter capaign with mote than 4,000 supporters. If you are interested, you can also find more about the kit in Luxoni’s community slack channel (https://luxonis-community.slack.com/)

Due to the interesting features that the OAK-D, I decided to apply for the OpenCV Spatial AI competition and was lucky enough to be selected as one of the winners of Phase 1. You can also check the projects for the rest of the Phase 1 winners here.

This publication is part of a series of post where I will be describing my journey developing with the new OAK-D as part of my competition project.

Proposed System

Mask detector for social distancing for the blind

Illustration of how the output of the proposed system could detect people wearing a mask and their distance to the user.

The title of my proposal is “Social distancing feedback for visually impaired people using a wearable camera”. Due to the current worldwide outbreak of COVID-19, social distancing has become a new social norm as a measure to prevent the widespread of the pandemic.

However, visually impaired people are struggling to keep independence in the new socially distanced normal¹,². For blind people, it is not possible to easily confirm if they are keeping the social distance with the people around them. As an example, a** video in the Royal National Institute of Blind People (RNIB) Twitter account** showed the difficulties blind people are struggling with in their daily life due to social distancing.

Moreover, common solutions for the blind such as white cane or dog cannot assist the blind to keep the social distance. Even worse, blind people cannot know if the people close to them is wearing a mask or not, thus they suffer a higher risk of infection.

For those reasons, the objective of my project is to develop a feedback system for the blind that informs about the distance to other people around and whether someone is not wearing a mask.

#azure-kinect #deep-learning #opencv #covid19 #blind #deep learning

What is GEEK

Buddha Community

OpenCV Spatial AI Competition Journey
Otho  Hagenes

Otho Hagenes

1619511840

Making Sales More Efficient: Lead Qualification Using AI

If you were to ask any organization today, you would learn that they are all becoming reliant on Artificial Intelligence Solutions and using AI to digitally transform in order to bring their organizations into the new age. AI is no longer a new concept, instead, with the technological advancements that are being made in the realm of AI, it has become a much-needed business facet.

AI has become easier to use and implement than ever before, and every business is applying AI solutions to their processes. Organizations have begun to base their digital transformation strategies around AI and the way in which they conduct their business. One of these business processes that AI has helped transform is lead qualifications.

#ai-solutions-development #artificial-intelligence #future-of-artificial-intellige #ai #ai-applications #ai-trends #future-of-ai #ai-revolution

Murray  Beatty

Murray Beatty

1598606037

This Week in AI | Rubik's Code

Every week we bring to you the best AI research papers, articles and videos that we have found interesting, cool or simply weird that week.

#ai #this week in ai #ai application #ai news #artificaial inteligance #artificial intelligence #artificial neural networks #deep learning #machine learning #this week in ai

This Week in AI - Issue #22 | Rubik's Code

Every week we bring to you the best AI research papers, articles and videos that we have found interesting, cool or simply weird that week.Have fun!

Research Papers

Articles

#ai #this week in ai #ai application #ai news #artificaial inteligance #artificial intelligence #artificial neural networks #deep learning #machine learning #this week in ai

George  Koelpin

George Koelpin

1602255900

Amsterdam And Helsinki Launch Open AI Registers

Amsterdam and Helsinki both launched an Open AI Register at the Next Generation Internet Summit. According to sources, these two cities are the first in the world that are aiming to be open and transparent about the use of algorithms and AI in the cities.

Currently, in the beta version, Algorithm Register is an overview of the artificial intelligence systems and algorithms used by the City of Amsterdam. The register is an effort to show where the cities are currently making use of AI and how the algorithms work.

Jan Vapaavuori, Mayor of Helsinki stated, “Helsinki aims to be the city in the world that best capitalises on digitalisation. Digitalisation is strongly associated with the utilisation of artificial intelligence. With the help of artificial intelligence, we can give people in the city better services available anywhere and at any time. In the front rank with the City of Amsterdam, we are proud to tell everyone openly what we use Artificial Intelligence for.”

#news #ai register #amsterdam ai #helsinki ai #open ai register #ai

Noah  Rowe

Noah Rowe

1597010760

OpenCV Spatial AI Competition Journey

OpenCV Spatial AI Competition

Recently, the people at OpenCV launched the OpenCV Spatial AI competition sponsored by Intel as part of OpenCV’s 20th anniversary celebration. The main objective of the competition is to develop applications that benefit from the features of the new OpenCV AI Kit with Depth (OAK-D). The competition consists of two phases, the winners of the first phase were able to obtain an OAK-D for free to develop their application and the second phase winners will receive a cash prize of up to $3,000.

The OAK-D contains a 12 MP RGB camera for deep neural inference and a stereo camera for depth estimation in real time using Intel’s Myriad X Vision Processing Unit (VPU).

If you want to know more about the OAK-D, make sure to check theinterview by Ritesh Kanjee to Brandon Gilles**,**who is the Chief Architect of the OpenCV AI Kit.The kit has raised over $800,000 as part of their Kickstarter capaign with mote than 4,000 supporters. If you are interested, you can also find more about the kit in Luxoni’s community slack channel (https://luxonis-community.slack.com/)

Due to the interesting features that the OAK-D, I decided to apply for the OpenCV Spatial AI competition and was lucky enough to be selected as one of the winners of Phase 1. You can also check the projects for the rest of the Phase 1 winners here.

This publication is part of a series of post where I will be describing my journey developing with the new OAK-D as part of my competition project.

Proposed System

Mask detector for social distancing for the blind

Illustration of how the output of the proposed system could detect people wearing a mask and their distance to the user.

The title of my proposal is “Social distancing feedback for visually impaired people using a wearable camera”. Due to the current worldwide outbreak of COVID-19, social distancing has become a new social norm as a measure to prevent the widespread of the pandemic.

However, visually impaired people are struggling to keep independence in the new socially distanced normal¹,². For blind people, it is not possible to easily confirm if they are keeping the social distance with the people around them. As an example, a** video in the Royal National Institute of Blind People (RNIB) Twitter account** showed the difficulties blind people are struggling with in their daily life due to social distancing.

Moreover, common solutions for the blind such as white cane or dog cannot assist the blind to keep the social distance. Even worse, blind people cannot know if the people close to them is wearing a mask or not, thus they suffer a higher risk of infection.

For those reasons, the objective of my project is to develop a feedback system for the blind that informs about the distance to other people around and whether someone is not wearing a mask.

#azure-kinect #deep-learning #opencv #covid19 #blind #deep learning