Product Overview

The SICK CSS High Resolution color sensor delivers exceptional precision in detecting even the finest color nuances, making it ideal for applications requiring high accuracy in color identification. With its especially high color resolution and large depth of field, the sensor can distinguish between color differences that are difficult or impossible for the human eye to perceive. Whether dealing with natural materials like wood, stone, leather, or complex woven fabrics with heterogeneous color structures, the CSS High Resolution reliably detects challenging surfaces and gradients. The sensor ensures consistent performance across varying object sizes and distances thanks to its innovative automatic sensing distance regulation feature. Its full-color TFT display provides real-time visualization of color values in both RGB and L*a*b formats, enabling clear monitoring and adjustment during operation.

Key Features and Technology

The CSS High Resolution leverages advanced color resolution technology to detect very minor differences in hue, saturation, and brightness. Its high-resolution capability enables accurate identification of subtle color variations even on heterogeneously colored materials such as fabric, stone, or wood. The innovative teach-in method simplifies setup by allowing precise color learning without manual adjustments. Automatic adjustment of the color evaluation ensures consistent results regardless of object distance or size changes. With its large depth of field and automatic sensing distance regulation, the sensor maintains accurate color detection across up to 500 mm of sensing distance. This technology makes it particularly effective for dynamic production environments where objects vary in shape or position.

Technical Characteristics

The CSS High Resolution supports up to 24 colors per identification task, which can be transferred and saved externally via the IO-Link interface. It displays color values in both RGB and L*a*b color spaces on a full-color TFT display for intuitive monitoring. The sensor operates with an automatic sensing distance regulation feature that maintains precise color detection across varying distances up to 500 mm. This allows flexible machine design without compromising accuracy. The system can detect demanding heterogeneously colored materials, including natural and structured surfaces such as stone, fabric, or leather. Its high resolution enables the recognition of fine color gradients and mixtures that are otherwise invisible to the human eye.

Configuration and Integration

The CSS High Resolution simplifies commissioning through the SOPAS interface setup assistant, enabling fast and precise configuration for specific applications. Up to 24 colors can be transferred in parallel via the IO-Link interface and stored externally, allowing efficient management of color profiles. The sensor supports real-time diagnostics and monitoring during operation, reducing downtime and improving maintenance efficiency. Its intuitive setup process ensures quick integration into existing automation systems without requiring extensive programming or calibration. The combination of automatic sensing distance regulation and teach-in functionality reduces configuration time while maintaining high accuracy across diverse product types.

Operating Environment

The CSS High Resolution is designed for reliable operation in industrial environments with standard temperature and humidity ranges. It performs consistently under varying conditions due to its robust sensor technology and automatic adjustment mechanisms. The sensor maintains precise color detection regardless of object distance, making it suitable for dynamic production lines where part positioning may vary. Its performance remains stable across a wide range of ambient conditions, ensuring dependable operation in real-world settings without external environmental interference.

Industrial Applications

The CSS High Resolution is ideal for applications involving the inspection of natural or complex materials with variable color structures. It is particularly effective in industries such as textiles, woodworking, stone processing, and leather manufacturing where color consistency is critical. The sensor reliably detects color variations in woven fabrics, wood grain patterns, stone surfaces, and other heterogeneous materials. Its ability to handle fine gradients and maintain accuracy at changing distances makes it suitable for automated quality control processes in packaging, food, and automotive sectors where precise color matching is required.