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 […]
Ettlingen, October 5th, 2023 – Five years ago, Vision Components presented the first MIPI cameras for industrial series applications. Today, the manufacturer from Ettlingen in Germany offers more than 20 different image sensors as MIPI modules. Brand new is the VC MIPI IMX585, which offers best image quality in all lighting conditions with 4K image
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. e-con Systems has proven expertise in integrating our cameras into the NVIDIA platform, including Jetson Xavier NX / Nano / TX2 NX, Jetson AGX Xavier, Jetson AGX Orin, and NVIDIA Jetson Orin NX / NANO.
How NVIDIA and e-con Systems are Helping Solve Major Challenges In the Retail Industry Read More +
[Munich, Germany / Ottawa, Canada , 4 October] — FRAMOS launched the FSM-IMX636 Development Kit, an innovative platform allowing developers to explore the capabilities of Event-based Vision Sensing (EVS) technology and test potential benefits of using the technology on NVIDIA® Jetson with the FRAMOS sensor module ecosystem. Built around SONY and PROPHESEE’s cutting-edge EVS technology,
FRAMOS Launches Event-based Vision Sensing (EVS) Development Kit Read More +
Travis Davis, Delivery Manager in the Automation and Autonomy Core, and Tarik Loukili, Technical Lead for Automation and Autonomy Applications, both of John Deere, present the “Reinventing Smart Cities with Computer Vision” tutorial at the May 2023 Embedded Vision Summit. John Deere uses machine learning and computer vision (including stereo vision) for challenging outdoor applications
“Optimizing Image Quality and Stereo Depth at the Edge,” a Presentation from John Deere Read More +
Samuel Örn, Team Lead and Senior Machine Learning and Computer Vision Engineer at Invision AI, presents the “Using a Collaborative Network of Distributed Cameras for Object Tracking” tutorial at the May 2023 Embedded Vision Summit. Using multiple fixed cameras to track objects requires a careful solution design. To enable scaling the number of cameras, the
Brent Willis, Chief Operating Officer of the ProHawk Technology Group, demonstrates the company’s latest edge AI and vision technologies and products at the September 2023 Edge AI and Vision Alliance Forum. Specifically, Willis discusses the company’s AI-enabled computer vision restoration technology. ProHawk’s patented algorithms and technologies enable real-time, pixel-by-pixel video restoration, overcoming virtually all environmental
ProHawk Technology Group Overview of AI-enabled Computer Vision Restoration Read More +
For more information, visit https://www.idtechex.com/en/research-report/emerging-image-sensor-technologies-2024-2034-applications-and-markets/965. Covering image sensors, SWIR, hybrid sensors, hyperspectral imaging, event-based vision, phase imaging, OPD, hybrid sensors, CCD, thin film photodetectors, organic and perovskite photodetectors, InGaAs, quantum image sensors, and miniaturized spectrometer IDTechEx’s “Emerging Image Sensor Technologies 2024-2034: Applications and Markets” report evaluates the most diverse range of image sensors with varying
Emerging Image Sensor Technologies 2024-2034: Applications and Markets Read More +
Can anyone make ‘smart home’ devices useful to consumers? A Calif. startup, Useful Sensors, believes it has the magic potion. What’s at stake? Talk of edge AI, particularly machine learning, has captivated the IoT market. Yet, actual consumer products with local machine learning capabilities, are rare. Who’s ready to pull that off? Will it be
From ‘Smart’ to ‘Useful’ Sensors Read More +
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. The market for LiDAR in automotive applications is expected to reach US$3.9 billion in 2028 from US$169 million in 2022, representing a 69% Compound Annual Growth Rate (CAGR). According to Yole Intelligence’s
Unleashing LiDAR’s Potential: A Conversation with Innovusion Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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