Optical flow computation is instrumental in robot guidance. Optoelectronic smart-pixel sensors for such computation may be realized on a single chip, by making use of a suitable Cellular Neural Network architecture defined on a log-polar space-variant grid. Simulations confirm validity of the filtering system, and possible realizable structures are discussed.

The application of (smart) cameras for process control, mapping, and advanced imaging in agriculture has become an element of precision farming that facilitates the conservation of fertilizer, pesticides, and machine time. This technique additionally reduces the amount of energy required in terms of fuel. Although research activities have increased in this field, high camera prices reflect low ...

The advent and subsequent popularity of low cost, low power CMOS vision sensors enables us to integrate processing logic on the camera chip itself, thereby creating so-called smart sensors. They have an on-chip SIMD data processing array controlled by an off-chip controller. Smart sensors can execute low-level image processing routines as soon as one or more image lines are converted; they do n...

Image processing in machine vision is a challenging task because often real-time requirements have to be met in these systems. To accelerate the processing tasks in machine vision and to reduce data transfer latencies, new architectures for embedded systems in intelligent cameras are required. Furthermore, innovative processing approaches are necessary to realize these architectures efficiently...

nowadays, because of the growing numbers of vehicles on streets and roads, the use of intelligent controlsystems to improve driving safety and health has become a necessity. to design and implement suchcontrol systems, having information about traffic light colors is essential. there are the wide variety oftraffic lights in terms of light intensity and color. therefore it seems that design and ...

Autonomous vehicle detection and tracking are crucial for intelligent transportation management control systems. Although many techniques used to develop smart traffic systems, this article discusses using pixel-labeling real-time tracking. We propose a novel system that segments the image an Extreme Gradient Boost (XGBoost) classifier extract foreground objects. The proposed model is divided i...

A low-power high-speed smart sensor system based on a large format active pixel sensor (APS) integrated with a programmable neural processor for space exploration missions is presented. The concept of building an advanced smart sensing system is demonstrated by a system-level microchip design that is composed with an APS sensor, a programmable neural processor, and an embedded microprocessor in...

An optically interconnected Beowulf cluster has been modelled considering the optical, optoelectronic, electronic and algorithmic behaviour of the system. A Smart Pixel Array (SPA) layer was considered to alleviate the bandwidth mismatch between the commodity IO bus of the PCs and the high bandwidth in the optics. By using the SPA layer to provide load balancing for the system it has been shown...

Cellular Neural Networks (CNN) are proposed as processing devices for smart-pixel sensors for space-variant active vision. In fact, CNNs can implement the most significant low-level vision operations, and can be integrated together with onchip light-sensitive devices. The problem of porting CNN algorithms to a nonuniformly sampled grid is addressed, in particular for application to motion detec...

A smart ultra-low power CMOS image sensor comprising an analog programmable processor array is reported. Compact and efficient motion detection algorithms are implemented to process sub-sampled images made of so-called macropixels. Only Regions of Interest (ROI) consisting of macropixels containing moving objects are read out. This drastically reduces power consumption: the 110×240 pixel image ...