- Revl is developing an action camera to disrupt the $3B market led by GoPro, which has seen its stock drop 80% due to lack of innovation and focus on branding over new technology.
- Revl's camera uses built-in image stabilization and a motorized gimbal to capture the most stable footage, and its mobile app uses sensor data and emotion recognition to automatically edit videos and identify the best moments.
- The founding team has expertise in hardware, software, and action sports, and Revl will integrate its camera technology into other devices like helmets and vehicles to expand its market.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/06/how-do-we-enable-edge-ml-everywhere-data-reliability-and-silicon-flexibility-a-presentation-from-edge-impulse/
Zach Shelby, Co-founder and CEO of Edge Impulse, presents the “How Do We Enable Edge ML Everywhere? Data, Reliability and Silicon Flexibility” tutorial at the May 2022 Embedded Vision Summit.
In this talk, Shelby reveals insights from the company’s recent global edge ML developer survey, which identified key barriers to machine learning adoption, and shares the company’s vision for how the industry can overcome these obstacles. Unsurprisingly, the first critical obstacle identified by the survey is data. But the issue isn’t simply a lack of massive datasets, as is often assumed. On the contrary, the biggest opportunities in ML will be enabled by highly custom, industry-specific and even user-specific data. We need to master data lifecycle and active learning techniques that enable developers to move quickly from “zero to dataset.”
The real and perceived inability of today’s ML algorithms to reach the ultra-high accuracy needed in industrial systems is another key barrier. New techniques for explainable ML, better testing, sensor fusion and model fusion will increasingly allow developers to achieve industrial-grade reliability. Finally, in order to accelerate ML adoption in embedded products, we must recognize that most developers can’t immediately upgrade their systems to use the latest chips — a problem that is compounded by today’s chip shortages. To enable ML everywhere, we have to find ways to deploy ML on today’s silicon, while ensuring a smooth transition to new devices with AI acceleration in the future.
Fairfax Sydney #mojo #mojocon Feb 2017 Meetup - 360 video production basicsJamie Andrei
Fairfax Sydney #mojo #mojocon Feb 2017 Meetup - 360 video production basics
An introduction to 360 video / VR basics, introducting the concept, several approach & technologies, through to 2x key 360 social platforms (fish where the fish are), through to a basic workflow & some hands on Google Cardboard demos.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/06/how-do-we-enable-edge-ml-everywhere-data-reliability-and-silicon-flexibility-a-presentation-from-edge-impulse/
Zach Shelby, Co-founder and CEO of Edge Impulse, presents the “How Do We Enable Edge ML Everywhere? Data, Reliability and Silicon Flexibility” tutorial at the May 2022 Embedded Vision Summit.
In this talk, Shelby reveals insights from the company’s recent global edge ML developer survey, which identified key barriers to machine learning adoption, and shares the company’s vision for how the industry can overcome these obstacles. Unsurprisingly, the first critical obstacle identified by the survey is data. But the issue isn’t simply a lack of massive datasets, as is often assumed. On the contrary, the biggest opportunities in ML will be enabled by highly custom, industry-specific and even user-specific data. We need to master data lifecycle and active learning techniques that enable developers to move quickly from “zero to dataset.”
The real and perceived inability of today’s ML algorithms to reach the ultra-high accuracy needed in industrial systems is another key barrier. New techniques for explainable ML, better testing, sensor fusion and model fusion will increasingly allow developers to achieve industrial-grade reliability. Finally, in order to accelerate ML adoption in embedded products, we must recognize that most developers can’t immediately upgrade their systems to use the latest chips — a problem that is compounded by today’s chip shortages. To enable ML everywhere, we have to find ways to deploy ML on today’s silicon, while ensuring a smooth transition to new devices with AI acceleration in the future.
Fairfax Sydney #mojo #mojocon Feb 2017 Meetup - 360 video production basicsJamie Andrei
Fairfax Sydney #mojo #mojocon Feb 2017 Meetup - 360 video production basics
An introduction to 360 video / VR basics, introducting the concept, several approach & technologies, through to 2x key 360 social platforms (fish where the fish are), through to a basic workflow & some hands on Google Cardboard demos.
These are Izzi's slides from Digital Gaggle in May 2021.
Talk Description:
Potential ranking boost aside, improving your Core Web Vitals means providing stronger and more stable experiences for website visitors so it’s definitely worth our attention in 2021. However, these metrics can be difficult to grasp and even harder to improve. Not to worry! Izzi will be demystifying the Core Web Vital metrics and speed tooling, giving advice on how to improve them, and top tips on getting stakeholder buy-in, all with some juicy case studies from successful (and not so successful) domains.
E-commerce has fundamentally changed the way the automotive aftermarket industry does business. As retailers head online, aftermarket suppliers have the daunting task of creating, managing and distributing thousands of digital images. In order to stay lean while keeping up with e-commerce demands, many companies are looking to automate their asset creation to increase efficiency and accuracy.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/06/intensive-in-camera-ai-vision-processing-a-presentation-from-hailo/
Yaniv Iarovici, Head of Business Development at Hailo, presents the “Intensive In-camera AI Vision Processing” tutorial at the May 2023 Embedded Vision Summit.
In this talk, you’ll hear about the new Hailo-15 AI vision processor family, specifically designed to empower smart cameras with unprecedented AI capabilities. Iarovici explains how the Hailo-15 family of processors—with performance ranging from 7 to 20 tera operations per second—allows cameras to carry out significantly more video analytics at once, running several AI tasks in parallel.
Iarovici shows how Hailo-15 processors make it possible to perform faster detection at high resolution, enabling identification of smaller and more distant objects with higher accuracy and fewer false alarms. He also explores how the elevated AI performance of these processors can be utilized for video enhancement, such as improved low-light video quality, video stabilization and high dynamic range imaging. And he shows how Hailo is pioneering the use of vision-based transformers for real-time object detection in cameras.
This presentation by Dov Nimratz (Solution Architect, Consultant, GlobalLogic, Lviv) and Roman Chobik (Software Engineer, Engineering Consultant, GlobalLogic, Lviv) was delivered at GlobalLogic Kharkiv Embedded Conference 2019 on July 7, 2019.
During this talk, we were discussed Features of Embedded AI solutions, compared different hardware devices from Google and Intel and showed real-time Embedded AI demonstration.
Conference materials: https://www.globallogic.com/ua/events/kharkiv-embedded-conference-2019/
As the industry strives toward immersive VR experiences, we are guided by the extreme requirements associated with intuitive interactions, visual quality, and sound quality, in order to achieve the ultimate mobile VR experience. Precise, low-latency motion tracking of head movements is crucial for intuitive interactions with the virtual world, and visual-inertial odometry (VIO) is the ideal complementary subsystem to achieve this goal. VIO allows for six-degrees of freedom (6 DoF) in VR experiences, reduces latency, and cuts the cord. In this presentation, you will learn about:
• The enhanced user experiences that 6 DoF provides over 3 DoF
• The evolution of motion tracking
• How Qualcomm’s on-device VIO implementation provides a precise head pose at a high frequency yet at low latency and power
• The impact of 6 DoF on VR content development
Viditor is the online video editor, accessible from any device with an internet connection, storing your assets on the cloud, and synchronously collaborating with your friends.
Without a doubt, the interest in 360 video and virtual reality (VRO is on the rise. 360 Video can be useful for just about every type of industry, and it's one of the easiest ways for your organization to join the cutting edge.
Whether you run a video production company, you're a marketer looking to create experiential brand content, or you want to tap into the potential of VR for employee training, now is a great time to get the ball rolling on 360 video production.
Explore this infographic for ten reasons why it's time to invest in your next 360 camera.
These are Izzi's slides from Digital Gaggle in May 2021.
Talk Description:
Potential ranking boost aside, improving your Core Web Vitals means providing stronger and more stable experiences for website visitors so it’s definitely worth our attention in 2021. However, these metrics can be difficult to grasp and even harder to improve. Not to worry! Izzi will be demystifying the Core Web Vital metrics and speed tooling, giving advice on how to improve them, and top tips on getting stakeholder buy-in, all with some juicy case studies from successful (and not so successful) domains.
E-commerce has fundamentally changed the way the automotive aftermarket industry does business. As retailers head online, aftermarket suppliers have the daunting task of creating, managing and distributing thousands of digital images. In order to stay lean while keeping up with e-commerce demands, many companies are looking to automate their asset creation to increase efficiency and accuracy.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/06/intensive-in-camera-ai-vision-processing-a-presentation-from-hailo/
Yaniv Iarovici, Head of Business Development at Hailo, presents the “Intensive In-camera AI Vision Processing” tutorial at the May 2023 Embedded Vision Summit.
In this talk, you’ll hear about the new Hailo-15 AI vision processor family, specifically designed to empower smart cameras with unprecedented AI capabilities. Iarovici explains how the Hailo-15 family of processors—with performance ranging from 7 to 20 tera operations per second—allows cameras to carry out significantly more video analytics at once, running several AI tasks in parallel.
Iarovici shows how Hailo-15 processors make it possible to perform faster detection at high resolution, enabling identification of smaller and more distant objects with higher accuracy and fewer false alarms. He also explores how the elevated AI performance of these processors can be utilized for video enhancement, such as improved low-light video quality, video stabilization and high dynamic range imaging. And he shows how Hailo is pioneering the use of vision-based transformers for real-time object detection in cameras.
This presentation by Dov Nimratz (Solution Architect, Consultant, GlobalLogic, Lviv) and Roman Chobik (Software Engineer, Engineering Consultant, GlobalLogic, Lviv) was delivered at GlobalLogic Kharkiv Embedded Conference 2019 on July 7, 2019.
During this talk, we were discussed Features of Embedded AI solutions, compared different hardware devices from Google and Intel and showed real-time Embedded AI demonstration.
Conference materials: https://www.globallogic.com/ua/events/kharkiv-embedded-conference-2019/
As the industry strives toward immersive VR experiences, we are guided by the extreme requirements associated with intuitive interactions, visual quality, and sound quality, in order to achieve the ultimate mobile VR experience. Precise, low-latency motion tracking of head movements is crucial for intuitive interactions with the virtual world, and visual-inertial odometry (VIO) is the ideal complementary subsystem to achieve this goal. VIO allows for six-degrees of freedom (6 DoF) in VR experiences, reduces latency, and cuts the cord. In this presentation, you will learn about:
• The enhanced user experiences that 6 DoF provides over 3 DoF
• The evolution of motion tracking
• How Qualcomm’s on-device VIO implementation provides a precise head pose at a high frequency yet at low latency and power
• The impact of 6 DoF on VR content development
Viditor is the online video editor, accessible from any device with an internet connection, storing your assets on the cloud, and synchronously collaborating with your friends.
Without a doubt, the interest in 360 video and virtual reality (VRO is on the rise. 360 Video can be useful for just about every type of industry, and it's one of the easiest ways for your organization to join the cutting edge.
Whether you run a video production company, you're a marketer looking to create experiential brand content, or you want to tap into the potential of VR for employee training, now is a great time to get the ball rolling on 360 video production.
Explore this infographic for ten reasons why it's time to invest in your next 360 camera.
2. We are ready to disrupt the Action Camera Market!
The action camera market is a $3B industry, predicted to grow 20% YOY until 2020.
So why is GoPro stock down 80% YTD?
GoPro put more value on brand building than innovation.
The Revl team is technical, innovative and understands action sports.
Our founding team is highly technical and skilled in both hardware and software.
Innovation and user experience is our core focus.
Failed product: GoPro Session
Late to software game: Expensive acquisitions
No new product for 2015
Missed Christmas shipment
Growth driven by brand, not innovation
Newer, smarter players now stealing market share
3. “This video makes me nauseous” “Sorry, I haven’t had time to edit our vacation video”
Problem: Footage from current action cameras suck!
No stabilization = shaky footage Editing = time consuming + frustrating
4. The Solution: Hardware + Software
To truly fix the problem, we created both hardware and software.
Our camera and mobile app (iOS + Android) work together to:
6. Smart Editing using
motion and emotion data
Elevation Speed
Smart Editing using Sensor Data + Emotion Recognition
We identify your best moments based on your motions and emotions (joy, surprise, fear and more)
Fear Joy
ELEV.
2 ft
00:54 / 00:56 SPEED
20 mph
00:00 / 35:05
8. Custom Integration Solutions
Relocatable lens
Relocatable OLED
Relocatable Battery
Revl’s Multi foldable
PCB design conforms to
endless shapes or surfaces
Add Revl’s state of the art
micro gimbal to capture
the most stable footage in
the smallest package ever!
Our robust camera design can be integrated into multiple devices like helmets, motorcycles and cars
9. Eric Sanchez
Co-Founder / CEO
Nelson Vazquez
Co-Founder / CTO
Bruce Pla
Co-Founder / CDO
Rockstar Team
Electrical engineer
specialized in robotics
and system engineering.
Serial entrepreneur and
passionate action sports
athlete.
Electrical engineer
specialized in electronic
design and robotics. Serial
hardware hacker and
inventor. Kiteboarder,
passionate about the
ocean and aviation.
Industrial designer
specializing in product
design. Avid motorcycle
rider and snowboarder.
Passionate about racing,
art, and design.
10. Hardware Manufacturing Expert
Zahid Najam
Camera Design and
Manufacturing Expert
Camera
•30 years camera design experience.
•Built and designed 17 cameras including:
• 4 Cameras for GoPro
• 2 Cameras for Dropcam
• 2 Cameras for Contour
Full DFM and manufacturing on 5 cameras.
Zahid also has strong relations with suppliers and manufacturers.
VR / AR
•Designed Electronic architecture and provided manufacturing support for:
•Jaunt
•Meta
•Video Stitch
Zahid is a partner and advisor lead to de-risk manufacturing for Revl
11. Press & Media
“Revl just launched a smart action camera that solves the two worst things about
action cams: shaky footage and a cumbersome editing process.”
We have been featured in 40+ publications, including TechCrunch, The Verge, and The Wall Street Journal.
“Revl has taken all the friction out of video the same way Apple took the friction
out of phones.”
– Bill Tai
