Barcode Reader suits track and traceability applications.
Press Release Summary:
Designed to read 1D and 2D codes, Lector620 includes teach-in with auto-focus, allowing user to mount scanner at any distance from code and automatically optimize settings for best possible read. Image-based unit offers integrated illumination and visual indication that code has been read. Housed in metal enclosure with IP65 or IP67 rating for harsh conditions, Lector620 offers multiple on-board interfaces, including Ethernet TCP/IP, CAN, USB, and RS232.
Original Press Release:
SICK Launches Lector620® Image-based Code Reader
SICK (sickusa.com), one of the world's leading manufacturers of sensors, safety systems, machine vision, and automatic identification products for factory and logistics automation, today announced the launch of the Lector620 image-based reader for 1D and 2D codes. The Lector620 is ideal for track and traceability applications.
The Lector620 offers intelligent setup and intuitive operation, including teach-in with auto-focus. This allows customers to mount the scanner at any distance from the code and automatically optimize settings for the best possible read. There is also no need to use a PC to set up the scanner - greatly reducing setup time. Multiple on-board interfaces, such as Ethernet TCP/IP, CAN, USB, and RS232 ensure flexible use.
It also comes in a compact, metal housing with an enclosure rating of either IP 65 or IP 67 for harsh conditions, including dusty and humid environments. Integrated illumination (red, blue, green) provides a solution for high or low contrast codes and a visual indication that the code has been read. The Lector620 series offers real-time decoding of all images, improving decoding performance and enabling fast detection and elimination of reading problems.
Applications include individual production control and traceability of components in the automotive, packaging, food and beverage, consumer goods, and pharmaceutical industries. Additional applications are counterfeit detection and identification of single components and PCBs.
