Abstract: An integrated radiation sensor is disclosed. The integrated radiation sensor comprises a first optical filter associated with a first radiation-sensing element and a second optical filter associated with a second radiation-sensing element. The first optical filter is configured to pass radiation to the first radiation-sensing element with wavelengths within a UV-C range. The second optical filter is configured to pass radiation to the second radiation-sensing element with wavelengths longer than wavelengths within the UV-C range. Also disclosed is a method of manufacturing the integrated radiation sensor and methods of use of the integrated radiation sensor.

Abstract: An integrated radiation sensor is disclosed. The integrated radiation sensor comprises a first optical filter associated with a first radiation-sensing element and a second optical filter associated with a second radiation-sensing element. The first optical filter is configured to pass radiation to the first radiation-sensing element with wavelengths within a UV-C range. The second optical filter is configured to pass radiation to the second radiation-sensing element with wavelengths longer than wavelengths within the UV-C range. Also disclosed is a method of manufacturing the integrated radiation sensor and methods of use of the integrated radiation sensor.

Abstract: An image-sensing device is disclosed, the image-sensing device comprising a multispectral sensor and a processor communicably coupled to the multispectral sensor. The processor is configured to determine an ambient light source classification based on a comparison of predefined spectral data to data corresponding to an output of the multispectral sensor. Also disclosed is a method of classifying an ambient light source by sensing a spectrum of light with a multispectral sensor; and determining an ambient light source classification based on a comparison of predefined spectral data to data corresponding to an output of the multispectral sensor. An associated computer program, computer-readable medium and data processing apparatus are also disclosed.

Abstract: Disclosed are methods and devices for calibration in the field of optical sensors, e.g. characterizing and calibrating an optical sensor chip. In order to address complexity of sensor data with high accuracy the optical sensor, e.g. an optical sensor is not provided as an already calibrated unit. Rather, sensor response data may be recorded in a defined or standardized environment, e.g. at a production line, and with high precision. This high standard sensor response data can be obtained on a per device basis and, thus, is referenced with an unambiguous chip identification number, chip ID. The sensor data is complemented with a dedicated calibration algorithm which can be tailor-made to fit the optical sensor or the optical sensor chip. In order to retrieve the sensor response data and the calibration algorithm both can be made available by means of the chip ID, for example.