In-sensor computing for machine vision

Computing Optic Flow with ArduEye Vision Sensor

Segmented-base CMOS Image Sensor for Machine Vision Application

In this paper, a CMOS image sensor whose focal plane is divided into several segments for machine vision application and an effective imaging method using segmented-base CMOS image sensor are presented. The proposed architecture of the image sensor adjusts imaging parameters on a segmented base. A segment is coupled to an external processing engine, which enables faster readout and real-time pr...

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

A bio-inspired apposition compound eye machine vision sensor system.

The Wyoming Information, Signal Processing, and Robotics Laboratory is developing a wide variety of bio-inspired vision sensors. We are interested in exploring the vision system of various insects and adapting some of their features toward the development of specialized vision sensors. We do not attempt to supplant traditional digital imaging techniques but rather develop sensor systems tailor ...

Machine vision for digital microfluidics.

Machine vision is widely used in an industrial environment today. It can perform various tasks, such as inspecting and controlling production processes, that may require humanlike intelligence. The importance of imaging technology for biological research or medical diagnosis is greater than ever. For example, fluorescent reporter imaging enables scientists to study the dynamics of gene networks...