"Using Computer Vision and Machine Learning to Understand Pet Behavior," a Presentation from PetCube
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For the full video of this presentation, please visit: https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/dec-2017-alliance-vitf-khronos For more information about embedded vision, please visit: http://www.embedded-vision.com Alex Neskin, founder and CTO of PetCube, delivers the presentation "Using Computer Vision and Machine Learning to Understand Pet Behavior" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Neskin explains how his start-up is using vision and AI to improve the lives of pets and their owners.
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/a-computer-vision-system-for-autonomous-satellite-maneuvering-a-presentation-from-scout-space/
Andrew Harris, Spacecraft Systems Engineer at SCOUT Space, presents the “Developing a Computer Vision System for Autonomous Satellite Maneuvering” tutorial at the May 2023 Embedded Vision Summit.
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Harris describes how his company generates synthetic data for this challenging environment and how it leverages new real-world data to improve our datasets. In particular, he explains how these synthetic datasets account for and can replicate real sources of noise and error in the orbital environment, and how his company supplements them with in-space data from the first SCOUT-Vision system, which has been in orbit since 2021.“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...
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Susan Kennedy, Assistant Professor of Philosophy at Santa Clara University, presents the “Bias in Computer Vision—It’s Bigger Than Facial Recognition!” tutorial at the May 2023 Embedded Vision Summit.
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Sanjay Nichani, Vice President for Artificial Intelligence and Computer Vision at Peloton Interactive, presents the “Developing an Embedded Vision AI-powered Fitness System” tutorial at the May 2023 Embedded Vision Summit.
The Guide is Peloton’s first strength-training product that runs on a physical device and also the first that uses AI technology. It turns any TV into an interactive personal training studio. Members have access to Peloton’s instructors, who lead classes that use dumbbells and body weight. The Guide uses an innovative combination of hardware, software and user interface; it is one of only a handful of consumer products in this market that use real-time embedded computer vision, and Peloton’s members love it!
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Todd Poole, Director of Venture Capital Investments for HPE Pathfinder Ventures, presents the “Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups” tutorial at the May 2023 Embedded Vision Summit.
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Jack Narcotta, Principal Analyst for the Smart Home at Omdia, presents the “Advanced Presence Sensing: What It Means for the Smart Home” tutorial at the May 2023 Embedded Vision Summit.
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Yoav Banin, Chief Product and Business Development Officer, and Tahmida Mahmud, Engineering Manager for Perception, both of Nauto, presents the “Tracking and Fusing Diverse Risk Factors to Drive a SAFER Future” tutorial at the May 2023 Embedded Vision Summit.
Unless you’re a gang member or drug addict, driving is your top risk. But which risks can you handle and which can kill you? Since 96% of collisions are caused by human error and 75% are unconscious (the driver is not aware of the risk), Nauto used one billion miles of real-life driving data to find out, feeding it into a model fusing 26 road context, driver action/attention and vehicle dynamics factors to predict collisions, near misses and safe driving.
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Haran Thanigasalam, Camera and Imaging Consultant to the MIPI Alliance, presents the “MIPI CSI-2 Image Sensor Interface Standard Features Enable Efficient Embedded Vision Systems” tutorial at the May 2023 Embedded Vision Summit.
As computer vision applications continue to evolve rapidly, there’s a growing need for a smarter standardized interface connecting multiple image sensors to processors for real-time perception and decision-making. In this presentation, Thanigasalam provides a deep dive into the latest version of the widely implemented CSI-2 v4.0 interface from MIPI Alliance.
This new version includes key features specifically designed to support computer vision applications, including democratized Smart Region of Interest, Always-On Sentinel Conduit, Multi-Pixel Compression and Latency Reduction and Transport Efficiency. These novel features enable sophisticated machine awareness with reduced system power and processing needs, making them well suited for consumer, commercial and infrastructure platforms.“Introduction to the CSI-2 Image Sensor Interface Standard,” a Presentation f...
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Haran Thanigasalam, Camera and Imaging Consultant to the MIPI Alliance, presents the “Introduction to the MIPI CSI-2 Image Sensor Interface Standard” tutorial at the May 2023 Embedded Vision Summit.
By taking advantage of select features in standardized interfaces, vision system architects can help reduce processor load, cost and power consumption while gaining flexibility to source components from multiple vendors. In this presentation, Thanigasalam introduces the standardized MIPI CSI-2 imaging conduit solution for interfacing image sensors to processors.
Thanigasalam explains how the solution supports basic operations of a camera sensor, including physical frame transport options and orthogonal commands for autoexposure, autofocus, auto white balance and event detection. He also introduces command sets to help bring up and tune sensors. In addition, Thanigasalam explores provisions to alleviate RF emissions, enable aggregation of data from multiple remote sensors and alleviate the need for dual voltage signaling to avoid electrical overstress issues. He also touches on emerging support for frame transport using WiFi.Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Epistemic Interaction - tuning interfaces to provide information for AI support
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/developing-an-embedded-vision-ai-powered-fitness-system-a-presentation-from-peloton-interactive/
Sanjay Nichani, Vice President for Artificial Intelligence and Computer Vision at Peloton Interactive, presents the “Developing an Embedded Vision AI-powered Fitness System” tutorial at the May 2023 Embedded Vision Summit.
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In this talk, Nichani shares insights into how the computer vision technology behind the Guide was built. He focuses on data, models and processes. The AI and Computer Vision team at Peloton worked through numerous obstacles by using synthetic data, advanced algorithms and field-testing iteration to create an affordable AI-powered device that enables at-home fitness for everyone.“Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups,” a ...
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Todd Poole, Director of Venture Capital Investments for HPE Pathfinder Ventures, presents the “Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups” tutorial at the May 2023 Embedded Vision Summit.
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Eventually, homes will become highly autonomous—powered by ubiquitous, connected, intelligent devices (sometimes referred to as ambient computing)—but this remains a distant vision. In the meantime, advanced presence sensing innovations from component manufacturers, software developers and smart home device companies are enabling meaningful improvements in convenience, efficiency and safety.
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Yoav Banin, Chief Product and Business Development Officer, and Tahmida Mahmud, Engineering Manager for Perception, both of Nauto, presents the “Tracking and Fusing Diverse Risk Factors to Drive a SAFER Future” tutorial at the May 2023 Embedded Vision Summit.
Unless you’re a gang member or drug addict, driving is your top risk. But which risks can you handle and which can kill you? Since 96% of collisions are caused by human error and 75% are unconscious (the driver is not aware of the risk), Nauto used one billion miles of real-life driving data to find out, feeding it into a model fusing 26 road context, driver action/attention and vehicle dynamics factors to predict collisions, near misses and safe driving.
Nauto, as described by Banin and Mahmud in this presentation, found that drivers can handle most single risks, but multiple simultaneous risks can be deadly. Some combinations are 1,000 times more dangerous than regular driving. Nauto’s “SAFER” model can be fitted to any late-model vehicle. It can be trained with labeled data from historical trips or through reinforcement learning from observations of excellent and poor drivers. A time series matrix can help you see a few seconds into the future.“MIPI CSI-2 Image Sensor Interface Standard Features Enable Efficient Embedde...
“MIPI CSI-2 Image Sensor Interface Standard Features Enable Efficient Embedde...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2023/10/mipi-csi-2-image-sensor-interface-standard-features-enable-efficient-embedded-vision-systems-a-presentation-from-the-mipi-alliance/
Haran Thanigasalam, Camera and Imaging Consultant to the MIPI Alliance, presents the “MIPI CSI-2 Image Sensor Interface Standard Features Enable Efficient Embedded Vision Systems” tutorial at the May 2023 Embedded Vision Summit.
As computer vision applications continue to evolve rapidly, there’s a growing need for a smarter standardized interface connecting multiple image sensors to processors for real-time perception and decision-making. In this presentation, Thanigasalam provides a deep dive into the latest version of the widely implemented CSI-2 v4.0 interface from MIPI Alliance.
This new version includes key features specifically designed to support computer vision applications, including democratized Smart Region of Interest, Always-On Sentinel Conduit, Multi-Pixel Compression and Latency Reduction and Transport Efficiency. These novel features enable sophisticated machine awareness with reduced system power and processing needs, making them well suited for consumer, commercial and infrastructure platforms.“Introduction to the CSI-2 Image Sensor Interface Standard,” a Presentation f...
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Haran Thanigasalam, Camera and Imaging Consultant to the MIPI Alliance, presents the “Introduction to the MIPI CSI-2 Image Sensor Interface Standard” tutorial at the May 2023 Embedded Vision Summit.
By taking advantage of select features in standardized interfaces, vision system architects can help reduce processor load, cost and power consumption while gaining flexibility to source components from multiple vendors. In this presentation, Thanigasalam introduces the standardized MIPI CSI-2 imaging conduit solution for interfacing image sensors to processors.
Thanigasalam explains how the solution supports basic operations of a camera sensor, including physical frame transport options and orthogonal commands for autoexposure, autofocus, auto white balance and event detection. He also introduces command sets to help bring up and tune sensors. In addition, Thanigasalam explores provisions to alleviate RF emissions, enable aggregation of data from multiple remote sensors and alleviate the need for dual voltage signaling to avoid electrical overstress issues. He also touches on emerging support for frame transport using WiFi.More from Edge AI and Vision Alliance (20)
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https://alandix.com/academic/papers/synergy2024-epistemic/
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"Using Computer Vision and Machine Learning to Understand Pet Behavior," a Presentation from PetCube
- 2. Our products enable people to watch, talk to, play with and feed pets remotely while keeping their pets safe and healthy CONNECTING PETS TO THE INTERNET Mission
- 3. PETS ARE NEW BABIES, TRUE FAMILY MEMBERS People worry leaving pets home alone and want to be connected all the time Reason
- 4. Let you see, talk to, play with and feed your pets remotely Best selling pet cameras
- 5. Best selling pet cameras
- 7. US households that own a pet
- 8. Actual sales / US market In 2016, $66.75 billion was spent on our pets in the U.S.
- 10. Petcube Care Keep your pets and home safe with a cloud video recording service
- 11. Giving your pet a voice As the biggest pet camera, we’re in position to have the most data for ML HW+AI creates network effect. e.g. “Behavioral diagnostics”. Your cat shows unusual behavior in the last two days. Make sure everything is fine and check with a vet if needed. PETCUBE 1m ago Slide for more 😺🚨 Your cat’s having fun w/ laser
- 12. 2h 30m ago Slide for more Jane 🚶♀️ took Rocky for a walk 🐕 PETCUBE 2h 30m ago Slide for more PETCUBE Giving your pet a voice Here’s your day summary: Rocky 🐕 was active for 5h and 54 minutes. That’s 90% of his goal today, take him for a walk! 🚶 Barked 🔔 15 times, right after you left. You may consult with a 👩⚕️ about separation anxiety. He ate 🍖 2 times & caught 4 treats. 🌚 Slept for 4h and 20m that’s 1h more than yesterday.
- 13. Pet emotions detection Pets use their body language to communicate their emotions in predictable ways. Posture recognition algorithms watch key areas such as the tail, ears, and mouth. This technology helps us understand what the pet is feeling and become better pet parents.
- 14. Petcube Care: Pet Selfie Petcube uses AI to detect when the pet is approaching and sends a selfie to the owners phone. PETCUBE 1m ago Slide for more 😺 Huston has sent you a selfie!
- 15. Challenges we have Computing bottleneck Porting and optimization System cost
- 16. Comp bottleneck Smaller Low redundancy Fast training Accuracy Large netowrks EDGE device network
- 17. Porting and optimization — Optimized for accuracy, not embedded devices. — Maintain the same accuracy/time on different platforms.
- 18. System cost $ 200 Retail price 25% BOM $ 50 that includes Mechanical parts Electronics parts Assembly fee Average unit economics :
- 19. Benefits of Edge computing Low latencyPrivacy Cost
- 20. Alex Neskin Co-founder & CTO alex@petcube.com Thanks!