Single-Pixel Technology, alternately known as background suppression (BGS), is ideal for ignoring objects in the background and for consistent detection of objects in the near field, regardless of their color or reflectivity.
Smart sensors is a promising area for innovation in 2013. The combination of more powerful processors, networking connectivity and mass customization of sensor designs is opening up lots of possibilities for more intelligent sensor solutions. Add to that wireless technology, especially for factory applications, and we can expect to see an area ready to keep developing new products.
Great article! We at XYZ Interactive Tech. have developed a distance-based IR sensor that merges the technique of angle measurement and signal strength of a reflected IR pulse. This can be done in a low-cost package to output distance with customized resolution and accuracy. We have extended this principle to design sensors in 2D and 3D to recognize hand gestures for "smart" switching technology applications.
Because of the increasing ubiquity of wearable technology, it would be easy to think that design of wearable devices is routine and involves common design and engineering knowledge. Missed efforts in development will be remembered once the devices are used in the field
As governments, associations, and NGOs around the world seek to protect consumers, national and regional standards are becoming mandatory, challenging manufacturers and making testing and certification necessary for any product developed and brought to market.
Manufacturers of plastic parts recognize the potential of conformal cooling to reduce molding cycle times. Problem is, conformal molds require additive manufacturing (AM), and technologies in that space are still evolving. Costs also can be high, and beyond that, many manufacturing organizations lack the knowledge and expertise needed to apply and incorporate additive technologies into their operations.
Machine vision and video streaming systems are used for a variety of purposes, and each has applications for which it is best suited. This denotes that there are differences between them, and these differences can be categorized as the type of lenses used, the resolution of imaging elements, and the underlying software used to interpret the data.
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