SmartTrans

SmartTrans

Gregory  Menvielle

Gregory Menvielle

Grenoble, Rhône-Alpes

Let's stop fatigue related accidents

Virtual Reality, Intel RealSense™, Artificial Intelligence, Robotics, Internet of Things

Description

Fatigue kills.

Each year, countless lives (~1.3 million) and hundreds of billions of dollars are lost because people are too fatigued when they are behind the wheel.

Rather than focusing on last second detection, SmartTrans is all about the person behind the wheel, providing a holistic understanding of the human factor. We believe that for an optimal solution to this deadly problem, the person has to be at the core of the system.

SmartTrans relies on three main pillars to help people be less fatigued when they drive.

First, using our mobile app, people can manage information that is relevant to themselves. Everyone is unique, and rather than only using Big Data to come up with averages, we offer recommendations specific to the individual, her/his schedule, and her/his lifestyle.

We know that some people simply do not have an option and have to be on the road for certain number of hours a day, or must get to their destinations no matter what. These are the people we want to help. The app is how they interact with the rest of our AI.

Second, our sensor kit takes into account the car or the truck environment because so much of what surrounds us will contribute to our fatigue and stress levels. And again, we are interested in the individual user. Our sensor kits monitor changes and spikes. This information is then used by the AI to give immediate, and actionable suggestions.

Finally, our vision kit uses state-of-the-art camera detection and facial recognition to look for the markers that show increasing fatigue. This technology is effective under various conditions including nighttime driving, and when the operator wears glasses*. We are using computer vision technology from Intel to analyze this data in real-time, in the truck, so we can guarantee the highest level of privacy for the end-user.

All three systems come together and in real-time support the drivers. We can give them recommendations such as "There is a rest stop in 10 miles, you should take a 15 minute nap". Of course, we want to improve overall wellness for drivers, so SmartTrans can also give them recommendations around their sleep patterns or point them to professionals who can help them.

We are more than a technology solution. We are here to help people be healthier, and safer.

Gallery

Video

Links

@stopfatigue

Website

Gregorymenvielle smartnotify headshot

Gregory M. added photos to project SmartTrans

Medium 2991935a 8b2b 4c54 af96 131a8beff672

SmartTrans

Fatigue kills.

Each year, countless lives (~1.3 million) and hundreds of billions of dollars are lost because people are too fatigued when they are behind the wheel.

Rather than focusing on last second detection, SmartTrans is all about the person behind the wheel, providing a holistic understanding of the human factor. We believe that for an optimal solution to this deadly problem, the person has to be at the core of the system.

SmartTrans relies on three main pillars to help people be less fatigued when they drive.

First, using our mobile app, people can manage information that is relevant to themselves.
Everyone is unique, and rather than only using Big Data to come up with averages, we offer recommendations specific to the individual, her/his schedule, and her/his lifestyle.

We know that some people simply do not have an option and have to be on the road for certain number of hours a day, or must get to their destinations no matter what. These are the people we want to help. The app is how they interact with the rest of our AI.

Second, our sensor kit takes into account the car or the truck environment because so much of what surrounds us will contribute to our fatigue and stress levels. And again, we are interested in the individual user. Our sensor kits monitor changes and spikes. This information is then used by the AI to give immediate, and actionable suggestions.

Finally, our vision kit uses state-of-the-art camera detection and facial recognition to look for the markers that show increasing fatigue. This technology is effective under various conditions including nighttime driving, and when the operator wears glasses*.
We are using computer vision technology from Intel to analyze this data in real-time, in the truck, so we can guarantee the highest level of privacy for the end-user.

All three systems come together and in real-time support the drivers. We can give them recommendations such as "There is a rest stop in 10 miles, you should take a 15 minute nap". Of course, we want to improve overall wellness for drivers, so SmartTrans can also give them recommendations around their sleep patterns or point them to professionals who can help them.

We are more than a technology solution. We are here to help people be healthier, and safer.

Gregorymenvielle smartnotify headshot

Gregory M. added photos to project SmartTrans

Medium b4232d2a 0ace 4b0f b556 1fcd6c459291

SmartTrans

Fatigue kills.

Each year, countless lives (~1.3 million) and hundreds of billions of dollars are lost because people are too fatigued when they are behind the wheel.

Rather than focusing on last second detection, SmartTrans is all about the person behind the wheel, providing a holistic understanding of the human factor. We believe that for an optimal solution to this deadly problem, the person has to be at the core of the system.

SmartTrans relies on three main pillars to help people be less fatigued when they drive.

First, using our mobile app, people can manage information that is relevant to themselves.
Everyone is unique, and rather than only using Big Data to come up with averages, we offer recommendations specific to the individual, her/his schedule, and her/his lifestyle.

We know that some people simply do not have an option and have to be on the road for certain number of hours a day, or must get to their destinations no matter what. These are the people we want to help. The app is how they interact with the rest of our AI.

Second, our sensor kit takes into account the car or the truck environment because so much of what surrounds us will contribute to our fatigue and stress levels. And again, we are interested in the individual user. Our sensor kits monitor changes and spikes. This information is then used by the AI to give immediate, and actionable suggestions.

Finally, our vision kit uses state-of-the-art camera detection and facial recognition to look for the markers that show increasing fatigue. This technology is effective under various conditions including nighttime driving, and when the operator wears glasses*.
We are using computer vision technology from Intel to analyze this data in real-time, in the truck, so we can guarantee the highest level of privacy for the end-user.

All three systems come together and in real-time support the drivers. We can give them recommendations such as "There is a rest stop in 10 miles, you should take a 15 minute nap". Of course, we want to improve overall wellness for drivers, so SmartTrans can also give them recommendations around their sleep patterns or point them to professionals who can help them.

We are more than a technology solution. We are here to help people be healthier, and safer.

Gregorymenvielle smartnotify headshot

Gregory M. added photos to project SmartTrans

Medium 2991935a 8b2b 4c54 af96 131a8beff672

SmartTrans

Fatigue kills.

Each year, countless lives (~1.3 million) and hundreds of billions of dollars are lost because people are too fatigued when they are behind the wheel.

Rather than focusing on last second detection, SmartTrans is all about the person behind the wheel, providing a holistic understanding of the human factor. We believe that for an optimal solution to this deadly problem, the person has to be at the core of the system.

SmartTrans relies on three main pillars to help people be less fatigued when they drive.

First, using our mobile app, people can manage information that is relevant to themselves.
Everyone is unique, and rather than only using Big Data to come up with averages, we offer recommendations specific to the individual, her/his schedule, and her/his lifestyle.

We know that some people simply do not have an option and have to be on the road for certain number of hours a day, or must get to their destinations no matter what. These are the people we want to help. The app is how they interact with the rest of our AI.

Second, our sensor kit takes into account the car or the truck environment because so much of what surrounds us will contribute to our fatigue and stress levels. And again, we are interested in the individual user. Our sensor kits monitor changes and spikes. This information is then used by the AI to give immediate, and actionable suggestions.

Finally, our vision kit uses state-of-the-art camera detection and facial recognition to look for the markers that show increasing fatigue. This technology is effective under various conditions including nighttime driving, and when the operator wears glasses*.
We are using computer vision technology from Intel to analyze this data in real-time, in the truck, so we can guarantee the highest level of privacy for the end-user.

All three systems come together and in real-time support the drivers. We can give them recommendations such as "There is a rest stop in 10 miles, you should take a 15 minute nap". Of course, we want to improve overall wellness for drivers, so SmartTrans can also give them recommendations around their sleep patterns or point them to professionals who can help them.

We are more than a technology solution. We are here to help people be healthier, and safer.

Gregorymenvielle smartnotify headshot

Gregory M. added photos to project SmartTrans

Medium b4232d2a 0ace 4b0f b556 1fcd6c459291

SmartTrans

Fatigue kills.

Each year, countless lives (~1.3 million) and hundreds of billions of dollars are lost because people are too fatigued when they are behind the wheel.

Rather than focusing on last second detection, SmartTrans is all about the person behind the wheel, providing a holistic understanding of the human factor. We believe that for an optimal solution to this deadly problem, the person has to be at the core of the system.

SmartTrans relies on three main pillars to help people be less fatigued when they drive.

First, using our mobile app, people can manage information that is relevant to themselves.
Everyone is unique, and rather than only using Big Data to come up with averages, we offer recommendations specific to the individual, her/his schedule, and her/his lifestyle.

We know that some people simply do not have an option and have to be on the road for certain number of hours a day, or must get to their destinations no matter what. These are the people we want to help. The app is how they interact with the rest of our AI.

Second, our sensor kit takes into account the car or the truck environment because so much of what surrounds us will contribute to our fatigue and stress levels. And again, we are interested in the individual user. Our sensor kits monitor changes and spikes. This information is then used by the AI to give immediate, and actionable suggestions.

Finally, our vision kit uses state-of-the-art camera detection and facial recognition to look for the markers that show increasing fatigue. This technology is effective under various conditions including nighttime driving, and when the operator wears glasses*.
We are using computer vision technology from Intel to analyze this data in real-time, in the truck, so we can guarantee the highest level of privacy for the end-user.

All three systems come together and in real-time support the drivers. We can give them recommendations such as "There is a rest stop in 10 miles, you should take a 15 minute nap". Of course, we want to improve overall wellness for drivers, so SmartTrans can also give them recommendations around their sleep patterns or point them to professionals who can help them.

We are more than a technology solution. We are here to help people be healthier, and safer.

Gregorymenvielle smartnotify headshot

Gregory M. added photos to project SmartTrans

Medium 9b6efe7f 0bb2 41ed 9f91 e3a7577a5635

SmartTrans

Fatigue kills.

Each year, countless lives (~1.3 million) and hundreds of billions of dollars are lost because people are too fatigued when they are behind the wheel.

Rather than focusing on last second detection, SmartTrans is all about the person behind the wheel, providing a holistic understanding of the human factor. We believe that for an optimal solution to this deadly problem, the person has to be at the core of the system.

SmartTrans relies on three main pillars to help people be less fatigued when they drive.

First, using our mobile app, people can manage information that is relevant to themselves.
Everyone is unique, and rather than only using Big Data to come up with averages, we offer recommendations specific to the individual, her/his schedule, and her/his lifestyle.

We know that some people simply do not have an option and have to be on the road for certain number of hours a day, or must get to their destinations no matter what. These are the people we want to help. The app is how they interact with the rest of our AI.

Second, our sensor kit takes into account the car or the truck environment because so much of what surrounds us will contribute to our fatigue and stress levels. And again, we are interested in the individual user. Our sensor kits monitor changes and spikes. This information is then used by the AI to give immediate, and actionable suggestions.

Finally, our vision kit uses state-of-the-art camera detection and facial recognition to look for the markers that show increasing fatigue. This technology is effective under various conditions including nighttime driving, and when the operator wears glasses*.
We are using computer vision technology from Intel to analyze this data in real-time, in the truck, so we can guarantee the highest level of privacy for the end-user.

All three systems come together and in real-time support the drivers. We can give them recommendations such as "There is a rest stop in 10 miles, you should take a 15 minute nap". Of course, we want to improve overall wellness for drivers, so SmartTrans can also give them recommendations around their sleep patterns or point them to professionals who can help them.

We are more than a technology solution. We are here to help people be healthier, and safer.

Gregorymenvielle smartnotify headshot

Gregory M. added photos to project SmartTrans

Medium 830317f7 cb51 4723 8690 9518e2da1213

SmartTrans

Fatigue kills.

Each year, countless lives (~1.3 million) and hundreds of billions of dollars are lost because people are too fatigued when they are behind the wheel.

Rather than focusing on last second detection, SmartTrans is all about the person behind the wheel, providing a holistic understanding of the human factor. We believe that for an optimal solution to this deadly problem, the person has to be at the core of the system.

SmartTrans relies on three main pillars to help people be less fatigued when they drive.

First, using our mobile app, people can manage information that is relevant to themselves.
Everyone is unique, and rather than only using Big Data to come up with averages, we offer recommendations specific to the individual, her/his schedule, and her/his lifestyle.

We know that some people simply do not have an option and have to be on the road for certain number of hours a day, or must get to their destinations no matter what. These are the people we want to help. The app is how they interact with the rest of our AI.

Second, our sensor kit takes into account the car or the truck environment because so much of what surrounds us will contribute to our fatigue and stress levels. And again, we are interested in the individual user. Our sensor kits monitor changes and spikes. This information is then used by the AI to give immediate, and actionable suggestions.

Finally, our vision kit uses state-of-the-art camera detection and facial recognition to look for the markers that show increasing fatigue. This technology is effective under various conditions including nighttime driving, and when the operator wears glasses*.
We are using computer vision technology from Intel to analyze this data in real-time, in the truck, so we can guarantee the highest level of privacy for the end-user.

All three systems come together and in real-time support the drivers. We can give them recommendations such as "There is a rest stop in 10 miles, you should take a 15 minute nap". Of course, we want to improve overall wellness for drivers, so SmartTrans can also give them recommendations around their sleep patterns or point them to professionals who can help them.

We are more than a technology solution. We are here to help people be healthier, and safer.

Medium gregorymenvielle smartnotify headshot

Gregory M. created project SmartTrans

Medium 830317f7 cb51 4723 8690 9518e2da1213

SmartTrans

Fatigue kills.

Each year, countless lives (~1.3 million) and hundreds of billions of dollars are lost because people are too fatigued when they are behind the wheel.

Rather than focusing on last second detection, SmartTrans is all about the person behind the wheel, providing a holistic understanding of the human factor. We believe that for an optimal solution to this deadly problem, the person has to be at the core of the system.

SmartTrans relies on three main pillars to help people be less fatigued when they drive.

First, using our mobile app, people can manage information that is relevant to themselves. Everyone is unique, and rather than only using Big Data to come up with averages, we offer recommendations specific to the individual, her/his schedule, and her/his lifestyle.

We know that some people simply do not have an option and have to be on the road for certain number of hours a day, or must get to their destinations no matter what. These are the people we want to help. The app is how they interact with the rest of our AI.

Second, our sensor kit takes into account the car or the truck environment because so much of what surrounds us will contribute to our fatigue and stress levels. And again, we are interested in the individual user. Our sensor kits monitor changes and spikes. This information is then used by the AI to give immediate, and actionable suggestions.

Finally, our vision kit uses state-of-the-art camera detection and facial recognition to look for the markers that show increasing fatigue. This technology is effective under various conditions including nighttime driving, and when the operator wears glasses*. We are using computer vision technology from Intel to analyze this data in real-time, in the truck, so we can guarantee the highest level of privacy for the end-user.

All three systems come together and in real-time support the drivers. We can give them recommendations such as "There is a rest stop in 10 miles, you should take a 15 minute nap". Of course, we want to improve overall wellness for drivers, so SmartTrans can also give them recommendations around their sleep patterns or point them to professionals who can help them.

We are more than a technology solution. We are here to help people be healthier, and safer.

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Johnny Chan

I am the creator of Mathalope.co.uk, a tech blog visited by 100,000+ students and professionals from 180+ countries. I'm also an Intel Software Innovator, with a focus on Machine Intelligence and Deep Learning. Big fan of Python and JavaScript. You can follow me on Twitter (@jAtlas7) and GitHub (Atlas7) - stay tuned. Current Interests / Area of focus: o Artificial Intelligence (AI) o Machine Learning (ML) o High Performance Computing (HPC) o Deep Learning (DL) o Open source technologies o Internet of Thing (IoT) Past: o Financial Services Professional in Banking (Investment, Corporate, Commercial & Private, Consumer) - located within the Canary Wharf and City of London area. o Data Analyst, Technologist, Developer, Programmer - mostly within the banking world. o Hackathon winner. Full-stack developer at a Startup. o Aeronautical Engineer

United Kingdom

Bigger profile pic
  • Projects 5
  • Followers 86

Johnny Chan

I am the creator of Mathalope.co.uk, a tech blog visited by 100,000+ students and professionals from 180+ countries. I'm also an Intel Software Innovator, with a focus on Machine Intelligence and Deep Learning. Big fan of Python and JavaScript. You can follow me on Twitter (@jAtlas7) and GitHub (Atlas7) - stay tuned. Current Interests / Area of focus: o Artificial Intelligence (AI) o Machine Learning (ML) o High Performance Computing (HPC) o Deep Learning (DL) o Open source technologies o Internet of Thing (IoT) Past: o Financial Services Professional in Banking (Investment, Corporate, Commercial & Private, Consumer) - located within the Canary Wharf and City of London area. o Data Analyst, Technologist, Developer, Programmer - mostly within the banking world. o Hackathon winner. Full-stack developer at a Startup. o Aeronautical Engineer

United Kingdom

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Cesar Javier Jimenez Ocampo

Mechatronic Engineer working as automotive security product designer

Apolo XI 101, zona 1, Base Tranquilidad, 62250 Cuernavaca, Mor., México