Anthocyanins are water soluble pigments in plants that are recognized for their antioxidant property. These pigments are
found in high concentration in cranberries, which give their characteristic dark red color. The Total Anthocyanin
concentration (TAcy) measurement process requires precious time, consumes chemical products and needs to be
continuously repeated during the harvesting period. The idea of the digital TAcy system is to explore the possibility of
estimating the TAcy based on analysing the color of the fruits. A calibrated color image capture set-up was developed
and characterized, allowing calibrated color data capture from hundreds of samples over two harvesting years (fall of
2007 and 2008). The acquisition system was designed in such a way to avoid specular reflections and provide good
resolution images with an extended range of color values representative of the different stages of fruit ripeness. The
chemical TAcy value being known for every sample, a mathematical model was developed to predict the TAcy based on
color information. This model, which also takes into account bruised and rotten fruits, shows a RMS error of less than
6% over the TAcy interest range [0-50].
In order to meet the needs of many diverse industrial 3D inspection tasks, INO has developed a new concept for the design of a smart and modular 3D laser profiler. This stand-alone sensor which we call Smart Laser Profiler (SLP) is composed of a laser line projector, collection optics, a high frame rate camera and a digital signal processor (DSP). The on-board DSP is the key to this technology. The SLP sensor has been designed to be both compact and rugged and it is enclosed in a water resistant NEMA 4 class housing that is easy to install on a production line. The Smart Laser Profiler has several preprogrammed functions on the DSP that implement basic shape analysis algorithms like volume measurement and shape conformance. For more complex shape analysis, the sensor can transfer the raw 3D profiles to a PC through a high-speed communication link. The present article will describe both the unique hardware, electronics and optical architecture of the sensor and the software tools that were developed.