MAZeT unveiled the multiple color sensors integrated TIAM4 module. In addition to the spectral operating detector, it contains the entire sensor electronics on-chip. The photocurrents of the detector are converted into voltages and are available via S & H on a MUX on the output side as an analog voltage signal for digital conversion. The TIA-based amplifier is individually programmable in transimpedance over eight levels and is characterized by a very good linearity in the amplifier stages and by low noise.

The TIAM4 is a compact sensor solution that, combined with a suitable light source, is very suitable for fast and/or portable color measuring.

Also MAZeT offers a tool for simulating compact spectrally-selective semiconductor sensors for accurate in-line color measurements. The system is simulated with the tool starting with the feasibility study and is optimized according to the requirements. Both the selection of the correct sensor and the optimum composition of filters and lighting are achieved in advance with the simulation software to enable the best possible quality for the actual measurement.

Color Measurement Simulation ToolVarious sensor models for color measurement are provided with the simulation application to cover differing accuracy requirements. The composition can thus be simulated and optimized based on radiometric calculation rules. The simulation tool is suited for the verification of the requirements of new and existing applications. Optimizations can be demonstrated that are easy to implement, such as for example replacing the lighting of the sensor used or the choice of objects for calibration.

The sensor models of the simulation tools are suited to the simple teaching (programming) of RGB and XYZ sensors, to absolute color measurements, to XYZ and multi-range sensors, and radiometric measurements with multi-range sensors. Applications of the light color measurement technology such as the regulation of RGBxx LEDs in colored light sources are also supported. Whatever the task, the optimized composition of filters, lighting and choice of objects for calibration is required to achieve the best possible accuracy.

The spectral composition of the filters and lighting has the strongest impact on the quality of the measurement. While developing the system, the pre-simulation avoids having to make several optimization runs – for example, in the choice of lighting. In addition to saving time, the simulation offers the advantage that during the development it can assess whether all system requirements have been met.

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