Examples of using Embedded vision in English and their translations into Japanese
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Read the latest consumer news from Lattice: Lattice sensAI brings more performance to the edge, Radiant IP and reference design, demo videos from Embedded Vision Summit, industry award and press coverage for sensAI.
Faced with these new embedded vision challenges design engineers in the automotive, industrial, and consumer segments are looking for solutions that will make their life easier.
AR is benefitting from the emerging deep learning techniques associated with AI and embedded vision. Applications for AR include education, gaming, industrial, and even self-driving cars.
The new Embedded Vision Development Kit takes advantage of the company's smart connectivity and acceleration product lines, equipping customers with a comprehensive, integrated solution for developing designs and enabling faster time-to-market.
The addition of the USB3-GigE VIP IO Board to our Video Interface Platform, allows designers to simply add network connectivity through the use of a unified connector, accelerating their embedded vision prototyping.
The combination of the new DesignWare EV6x Embedded Vision Processors with SEP, integrated CNN, unique safety features, and comprehensive set of software development tools gives SoC designers everything they need to accelerate ISO 26262 certification of their automotive systems.”.
The modular VIP platform provides designers with the ability to build an embedded vision prototyping system quickly by mixing and matching different input and output boards, eliminating cumbersome manual wiring and enabling faster time-to-market through a unified connector.
The Video Interface Platform(VIP) for embedded vision designs provides a highly flexible, smart modular solution for embedded vision designers who need to build a prototyping system quickly. VIP allows an easy inter-connect of input and output interface boards through a simple Snap-On concept.
The new Embedded Vision Development Kit(part of Lattice's embedded vision solutions portfolio) is one such FPGA-based platform that provides flexible connectivity and acceleration for mobile-influenced intelligent applications at the edge including robotics, drones, Advanced Driver Assistance Systems(ADAS), smart surveillance cameras and AR/VR systems.
VIP is the ideal prototyping solution for embedded vision systems in Advanced Driver Assistance Systems(ADAS), drones, gaming systems, virtual reality(VR), surveillance and security systems, medical equipment and Artificial Intelligence(AI) solutions.
By leveraging a mix of Lattice's FPGA, ASSP and programmable ASSP(pASSPTM) products in a single, modular platform, this unique solution provides the right balance of flexibility and energy efficiency required for a variety of embedded vision applications in the industrial, automotive and consumer markets.
Lattice at the Embedded Vision Summit 2017- Santa Clara,
This year's Embedded Visions summit, hosted by the Embedded Vision Alliance, was a big event for Lattice and our sensAI solutions stack for enabling low power smart vision in Edge devices.
Embedded Vision Alliance Membership is open to any company that supplies or uses technology for computer vision systems and applications.
Let's take a look at each of these features and how they facilitate embedded vision system design.
More information about the BCON interface and cameras equipped with it can be found in our Embedded Vision Portfolio.
Camera-captured images and video are an important aspect of AR systems and are also commonly used as inputs into embedded vision processing.
Advantage smart cameras and embedded vision products go beyond reading barcodes to enhance your product's ease of use for your customers.
This collaboration creates a complete hardware and software solution for embedded vision applications in Industry 4.0 applications, robotics, drones, automotive, AR and intelligent cameras for smart cities.
These mobile influenced technologies,(e.g. high performance, low cost, and low power processors, and a large selection of sensors), are all catalysts for the embedded vision revolution.