Software upgrade for Sensopart’s VISOR vision sensor

New functions for the Code Reader and a revamped monitoring software with enhanced statistical functions are among the additional features SensoPart’s VISOR vision sensors received from an extensive annual software upgrade.

“Our users are particularly impressed by the new design of SensoWeb,” says Marcus Koslik, product manager for vision at SensoPart. This software, which is pre-installed on the sensor, makes it possible to easily monitor running sensors in a standard browser on any end device, such as a laptop, tablet or smartphone. The new design has improved user navigation and the display mode is variable – it can be adapted to small and large screen diagonals. Furthermore, the new SensoWeb software offers enhanced statistical functions. Limited formerly to only a good/bad overall result, it is in future now also possible to output aggregated individual results for each detector in the form of histograms or percentage values.

The ‘Result Processing’ detector that was introduced with the last software release now also comes with additional evaluation options. While it was previously only possible to analyse the results of a job run, global statistical variables can presently be used to include the results of earlier versions in the evaluation. This enables the identification of changes or trends. In addition, data can be exchanged between different jobs. As such complex analyses are now possible directly in the sensor, PLC programming work is significantly reduced in many applications.

While the new monitoring software has been introduced with all VISOR variants (VISOR Object, VISOR Robotic, VISOR Code Reader and VISOR Allround), the current release also enhances the functionality of the VISOR Code Reader. Two important code families (Aztec, micro QR) have been added, as well as further quality parameters (in accordance with ISO/IEC TR 29158 and SEMI T10-0701). This ensures that the Code Reader is able to assess all 1D and 2D codes commonly used in industrial applications. The evaluation of quality parameters also guarantees a reliable reading process, as deviations in code quality are detected at an early stage.