Prophesee today announced the release of key open-source software modules (OpenEB) and a set of new Event-Based Machine Learning solutions that are aimed at optimizing ML training and inference for event-based applications, including optical flow and object detection. In addition, the company is offering the industry’s largest HD Event-Based dataset to developers as a free download.
This latest release of the company’s Metavision Intelligence Suite includes also adds an expanded set of development tools and software for designing industrial vision systems that leverage the performance and efficiency of Event-Based Vision. The suite now includes close to 100 algorithms, 67 code samples and 11 use-case specific application modules that accelerate the development process.
The open-source modules of OpenEB are available through Github and allow designers to build custom plugins and ensure compatibility with the Metavision Intelligence Suite for developing event-based systems. It provides a platform for developers to share software components across the machine vision ecosystem.
“We want to set an open technology standard in the machine vision ecosystem that enables new levels of accessibility and interoperability. As the leader and technology pioneer in event-based vision systems, our role is to help proliferate its use and make critical development aids, data and tools more readily available to product developers. Our approach provides the growing ecosystem around event-based technology with a rich open foundation and a strong development framework. This includes extensive and reliable data that we have collected over several years, as well as application modules that leverage our expertise in a variety of specific uses to accelerate the development of customer-specific systems,” said Luca Verre, CEO and co-founder of Prophesee.
Prophesee today announced the release of OpenEB, a set of key open-source software modules and a set of new Event-Based Machine Learning solutions. The new products are aimed at optimizing ML training and inference for event-based applications, including optical flow and object detection. In addition, the company is offering the industry’s largest HD Event-Based dataset to developers as a free download.
This latest release of the company’s Metavision® Intelligence Suite includes an expanded set of development tools and software for designing industrial vision systems that leverage the performance and efficiency of Event-Based Vision. The suite now includes close to 100 algorithms, 67 code samples and 11 use-case specific application modules that accelerate the development process.
The open-source modules of OpenEB are available through Github and allow designers to build custom plugins and ensure compatibility with the Metavision Intelligence Suite for developing event-based systems. It also provides a platform for developers to share software components across what they call the “machine vision ecosystem”.
rench AI developer Prophesee has released a set of key open-source software modules and a set of tools for event-driven Machine Learning such as optical flow and object detection.
As part of the Metavision Intelligence Suite, the Paris-based company is offering the industry’s largest HD Event-Based dataset called OpenEB to developers as a free download. This helps developers use an event-driven approach to machine learning that is triggered by changes rather that neural network frameworks.
The latest release adds an expanded set of development tools and software for designing industrial vision systems with event-driven machine learning. The suite now includes close to 100 algorithms, 67 code samples and 11 use-case specific application modules that accelerate the development process. The open-source modules of OpenEB are available through Github and allow designers to build custom plugins and ensure compatibility with the Metavision Intelligence Suite for developing event-based systems. It provides a platform for developers to share software components across the machine vision ecosystem.
“If you look at topics like AI and how much the US and China are investing in these, Europe is an order of magnitude behind,” says Ingo Ramesohl, managing director of Robert Bosch Venture Capital, one of Europe’s oldest and most successful corporate venture funds.
RBVC is to some extent helping to redress this balance, with investments into companies like Budapest-based self-driving car startup AImotive, and Prophesee, the French neuromorphic vision systems startup, but Europe’s biggest strengths may be in other areas of deeptech, says Ramesohl.
The event contained many highlights, including an excellent final day keynote speech from Andrew Ng on end-to-end workflow to build deep learning-powered visual inspection. Having scoured every product and booth on display, we thought we’d leave you with the top three exhibitors we visited.
Inspired by human vision, Paris-based Prophesee says its technology uses a patented sensor design and AI algorithms that mimic the eye and brain to reveal what was invisible until now using standard frame-based technology. They call this design event-based vision, offering technology that is “fundamentally different from the traditional image sensors” and a “paradigm shift in computer vision.”
Prophesee’s machine vision systems can operate in areas such as autonomous vehicles, industrial automation, IoT, security and surveillance, and AR/VR. One early application was in medical devices that restore vision to the blind. Using the booth as a base from which to showcase its event-based vision technology, some of the products included the Metavision® Packaged Sensor, the Century Arks Silkyevcam and the Image Visioncam EB, both of which are powered by Prophesee.
In 2019, inVision added Prophesee’s event-based vision reference system Onboard, to their “Top Innovation” list. More recently, it was announced that FRAMOS, a leading supplier of embedded vision solutions and 3D cameras for industrial applications, had become a global distribution and ecosystem partner for Prophesee’s Metavision® line of advanced vision products.
Back Market is the leading marketplace dedicated to refurbished devices. On today’s live podcast on Clubhouse, Co-Founder Vianney Vaute and US Managing Director Serge Verdoux join us to discuss their mission to make resurrected devices mainstream.
Most everyone agrees that consumer research is key to extracting valuable insights that can be critical across all aspects of a business, whether its product development and positioning, marketing and strategy, customer experience and satisfaction, or major company decisions about market expansion, M&A, or corporate transformation. Having a finger on the pulse of your key stakeholders is essential.
Unless you’ve been living under a rock, you’ll know sustainability is the future of any industry or investment strategy.
Now Europe boasts at least 800 climate tech startups with more and more launching each year. Public sentiment for immediate climate action is at an all-time high: a 2020 report conducted by Europa found that 94% of Europeans believe environmental protection is important to them personally.
The impact of sustainability has well and truly hit the European startup ecosystem, and climate techs, greentechs and cleantechs are getting just as mega as the rest.
Arrival, the electric vehicle company, plans to go public soon at a valuation of $13bn. Battery manufacturer Northvolt is rumoured to be next, after recently announcing a huge 10-year partnership with Volkswagen, which made a $14bn battery cell order. It’s not just electric vehicle or energy startups, of course — oat milk unicorn Oatly raised $200m last July from Blackstone and celebrities including Oprah Winfrey, Natalie Portman and Jay-Z, valuing the company at $2bn.
But there’s a lot more growth to be had — and Sifted’s on the case to find out where.
With help from our network, Dealroom data and our own research, we’ve cherrypicked the best and brightest of the bunch in Europe to form our first-ever sustainability rankings — the Sustain 100. Each startup has got sustainability at the very heart of its mission and messaging — climate communication is imperative today — while identifying the critical gaps in climate innovation with some fascinating tech.
You’ve probably heard of refurbished product marketplace Back Market and vertical farming superstar Infarm, which last year raised €110m and $170m respectively — but there are plenty more sustainability startups with high potential out there.
The Lenovo ThinkPad X1 Nano is just the kind of powerful, light, and long-lasting laptop you’ll want to take with you on post-pandemic business trips—and it’s handy even now just because it’s so easy to take all over the house. It also performs right there in the ballpark with other 11th-gen Tiger Lake competitors, and at a hair under two pounds, it weighs less than almost all of them.
Equipped with an IR camera for facial recognition, a presence-detecting radar, a 2K display with Dolby Vision HDR, and a premium keyboard, the X1 Nano covers the most bases for corporate users, and we haven’t mentioned the superlative battery life yet. But with only two available ports (Thunderbolt 4, at least), you’ll need to invest in a USB-C hub to connect legacy accessories.
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The ThinkPad X1 Nano offers a couple of biometric options. The match-on-chip fingerprint reader boosts security by performing all fingerprint enrollment, storage, and analysis on the chip itself, while Synaptics’ PurePrint technology uses AI to detect fake fingerprints. The sensor uses hardware acceleration to speed up fingerprint matching. The X1 Nano reliably unlocked itself mere moments after I put my finger on the reader.
This article covers the basics of what an SRAM PUF (physical unclonable function) is and how it works, as well as the functionality it offers in internet of things (IoT) security as the trust anchor for any device.
In any given situation, security starts with trust. When you have an alarm system in your house, you give out its pin code only to people you trust. Whether it is a family member or your friendly neighbor, without trust you do not share your secret. And that is how it is supposed to be!
This matter of trust also translates to personal identification. Here the foundation of trust comes from formal documents, such as a passport or a birth certificate. However, these documents need to be “securely linked” to a specific person. This typically works with human biometrics. ID papers all have something that ties the document to the right person, whether it is merely a picture of the person or biometric identification through fingerprints, as in modern passports. So, the biometrics are the security anchor on which a system with permissions (do you get to cross the border?) is built.
This security anchor is necessary to prevent a simple document from being copied and used by unauthorized parties. If the document is anchored to something that cannot be copied or cloned, like fingerprints, the security becomes strong enough to turn a relatively simple document into a powerful authentication tool.
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