Image Sensors World        Go to the original article...

0:00-3:54 About Cambridge Mechatronics
3:54-5:14 Controlling SMA
5:14-9:15 Supply chains and relationships
9:15-11:56 Other use cases
11:56-15:51 The Cambridge ecosystem
15:51-19:36 Looking ahead

Go to the original article...

Image Sensors World        Go to the original article...

tinyML Asia 2022
In-memory computing and Dynamic Vision Sensors: Recipes for tinyML in Internet of Video Things
Arindam BASU , Professor, Department of Electrical Engineering, City University of Hong Kong

Vision sensors are unique for IoT in that they provide rich information but also require excessive bandwidth and energy which limits scalability of this architecture. In this talk, we will describe our recent work in using event-driven dynamic vision sensors for IoVT applications like unattended ground sensors and intelligent transportation systems. To further reduce the energy of the sensor node, we utilize In-memory computing (IMC)—the SRAM used to store the video frames are used to perform basic image processing operations and trigger the following deep neural networks. Lastly, we introduce a new concept of hybrid IMC combining multiple types of memory.

With our new photon number resolving mode the ORCA-Quest enables photon counting resolution across a full 9.4 megapixel image. See the camera in action and learn how photon number imaging pushes quantitative imaging to a new frontier.

Accurate, Mobile Object Dimensioning using Time of Flight Technology

ADI's High Resolution 3D Depth Sensing Technology coupled with advanced image stitching algorithms enables the dimensioning of non-conveyable large objects for Logistics applications. Rather than move the object to a fixed dimensioning gantry, ADI's 3D technology enables operators to take the camera to the object to perform the dimensioning function. With the same level of accuracy as fixed dimensioners, making the system mobile reduces time and cost of measurement while enhancing energy efficiency.

Go to the original article...

Image Sensors World        Go to the original article...

Silicon Retina: History, Live Demo, and Whiteboard Pixel Design

Rockwood Memorial Lecture 2023: Tobi Delbruck, Institute of Neuroinformatics, UZH-ETH Zürich

Event Camera Silicon Retina; History, Live Demo, and Whiteboard Circuit Design
Rockwood Memorial Lecture 2023 (11/20/23)
https://inc.ucsd.edu/events/rockwood/
Hosted by: Terry Sejnowski, Ph.D. and Gert Cauwenberghs, Ph.D.
Organized by: Institute for Neural Computation, https://inc.ucsd.edu

Abstract: Event cameras electronically model spike-based sparse output from biological eyes to reduce latency, increase dynamic range, and sparsify activity in comparison to conventional imagers. Driven by the need for more efficient battery powered, always-on machine vision in future wearables, event cameras have emerged as a next step in the continued evolution of electronic vision. This lecture will have 3 parts: 1. A brief history of silicon retina development starting from Fukushima’s Neocognitron and Mahowald and Mead’s earliest spatial retinas; 2: A live demo of a contemporary frame-event DAVIS camera that includes an inertial measurement unit (IMU) vestibular system, 3: (targeted for neuromorphic analog circuit design students in the BENG 216 class), a whiteboard discussion about event camera pixel design at the transistor level, highlighting design aspects of event camera pixels which endow them with fast response even under low lighting, precise threshold matching even under large transistor mismatch, and temperature-independent event threshold.

Go to the original article...

Image Sensors World        Go to the original article...

Go to the original article...

Image Sensors World        Go to the original article...

Go to the original article...

Image Sensors World        Go to the original article...

 Video asks if smartphones have replaced cameras:

Source: https://www.eeagli.com/video/

Go to the original article...

Image Sensors World        Go to the original article...

CASS Talks 2022 - Jose Lipovetzky, CNEA, Argentina - April 8, 2022. Viewing ionizing radiation with CMOS image sensors.

Distributed On-Sensor Compute System for AR/VR Devices: A Semi-Analytical Simulation Framework for Power Estimation (Jorge GOMEZ, Research Scientist, Reality Labs, Meta)

This video briefly introduces the Global Shutter product line of PixArt. It provides insights into the key competitiveness of PixArt's Global Shutter products by comparing their ultra-low-power consumption rates and advanced built-ins with other similar products in the market.

Go to the original article...

Image Sensors World        Go to the original article...

Go to the original article...

Image Sensors World        Go to the original article...

From Counterpoint Research (https://www.youtube.com/watch?v=veC5PS8aDZo):

Over the last few years, steady upgrades in CMOS image sensor (CIS) technology combined with the evolution of chipsets – and the improvements in AI they enable – are bringing step-change improvements to smartphone camera performance.

Counterpoint Research would like to invite you to join our latest webinar Smartphone Imaging Trends: New Directions Capturing Magic Moments which will be attended by key executives from HONOR, Qualcomm, and DXOMARK as well as a renowned professional photographer and director Eugenio Recuenco.

The webinar is a complement to an upcoming Counterpoint Whitepaper (also to be released on June 8) which will cover smartphone imaging trends, OEM strategy comparisons, the key components of a great camera and show how technology is helping to unlock creative expression.

The camera has always been a major component of the smartphone and a key selling point among consumers. In the past, smartphone cameras lagged far behind even the most basic DSLRs as form factor and size constraints impacted picture and video quality. But technology has now advanced to the point where today’s top flagship devices are capable of delivering DSLR-like performance.

The rise of AI algorithms, advancements in multi-frame/multi-lens computational photography, more powerful processors, the addition of dedicated image signal and neural processing units and, of course, the compounding of R&D experience has resulted in today’s smartphone cameras rivalling dedicated imaging devices.

In fact, the smartphone’s comparatively compact form factor is an advantage, as clicking pictures and recording videos are becoming integrated into our daily lives through the growth of social media. The role of the camera has shifted to become a life tool, as end-users migrate from being simply consumers of content to creators.

This new direction that imaging has taken warrants further advancements in smartphone cameras, as we lean on technology to make the experience easier while allowing all of us to be more creative.

Table of Contents:

Introduction

Smartphone Imaging Trends

Megapixels: More is not necessarily better

Multi-camera modules: Covering all scenarios

Image processing: Pushing the laws of physics

OEM Imaging Comparisons

As hardware slows, innovation grows

Where the magic happens

New magic, new directions

Measuring Quality

Components of an exceptional smartphone camera

Image processing innovation

DXOMARK Readout

Capturing Magic Moments

Powering art through technology

Conclusion

Go to the original article...

Image Sensors World        Go to the original article...

Eric Fossum & Evan Nisselson Discussing The Evolution, Present & Future of Image Sensors

Eric Fossum is the inventor of the CMOS image sensor “camera-on-a-chip” used in billions of cameras, from smartphones to web cameras to pill cameras and many other applications. He is a solid-state image sensor device physicist and engineer, and his career has included academic and government research, and entrepreneurial leadership. He is currently a Professor with the Thayer School of Engineering at Dartmouth in Hanover, New Hampshire where he teaches, performs research on the Quanta Image Sensor (QIS), and directs the School’s Ph.D. Innovation Program. Eric and Evan discussed the evolution of image sensors, challenges and future opportunities.

More about LDV vision summit 2022: https://www.ldv.co/visionsummit

Organized by LDV Capital https://www.ldv.co/

[An earlier version of this post incorrectly mentioned this interview is from the 2022 summit. This was in fact from 2018. --AI]

Go to the original article...