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Self-contained vision system for inspecting large, cylindrical, and continuously moving objects
The In-Sight 9902L 2K line scan smart camera is a high resolution self-contained vision system ideal for detailed inspections of large, cylindrical, or continuously moving objects. The 9902L acquires up to 16,000 lines of 2,000 pixels per line to produce a 32MP image that can used to detect even the smallest features and defects. Each pixel line is acquired at 67,000 lines per second to keep up with the fastest production lines. This standalone vision system only requires a small view of the target part, making it an ideal choice for installations with restrictive field of view or mounting space requirements.
The In-Sight 9902L is the only embedded industrial line scan system that processes images directly on the camera. Onboard processing eliminates the inconvenience of having to install a separate controller. Plus, the IP67-rated housing protects the system from liquids and dust without the need for an external enclosure.
Line scan cameras are an ideal choice for inspecting oversized or cylindrical objects on fast-moving production lines. There are many applications for line scan, the most common including:
The In-Sight 9902L has a blazing fast 67 kHz line rate, acquiring each line of data in just 15 microseconds. Capturing 2,000 pixels with each line, the camera delivers 32MP images (16,000 lines) that enable vision tools to perform highly detailed inspections.
| Image Type | Monochrome |
| Job/Program | 7.2 GB non-volatile flash memory |
| Image Processing Memory | 512 MB SDRAM |
| Additional Storage | 8 GB SD card, network drive via FTP over gigabit network |
| Sensor Type | CMOS, global shutter |
| Resolution (pixels) | 2048 x 1; 2048 x 16384 (up to 16384 lines) software configurable, or 1024 x 1; 1024 x 16384 (up to 16384 lines) software configurable |
| Line Rate | 66K lines per second (15 µs scan rate) |
| Lens Type | C-mount only |
| Indicator LEDs | SD card status, pass/fail LED and 360° viewing indicator ring, network LED, and error LED |
| Built-in IO | 1 dedicated trigger in, 1 input, 2 outputs |
| Encoder Input | 2 encoder line inputs for quadrature support |
| Encoder Input Voltage | 5–24 VDC |
| Power | 24 VDC |
| Industrial M12 Connectors | Power/IO; Ethernet; External light power/control (N/A) |
| Protection | IP67 with C-mount lens cover |
| Network Communications | 1G (1000)/100/10 Mbps |
| Protocols | OPC UA, EtherNet/IP with AOP, PROFINET Class B, iQSS, Modbus TCP, SLMP/SLMP Scanner, IEEE 1588 (CIP Sync), Rockwell Add-On Profile, CC-Link IE Field Basic |
| IEEE 1588 Support | Timestamp resolution: 8 ns; Synchronization accuracy through transparent clock: 5 ns |
| Rockwell Add-on Profile | Yes |
| Vision Tools | Full vision tool suite with PatMax. Optional PatMax RedLine tool. |
Like all In-Sight vision systems, the In-Sight 9902L uses In-Sight Explorer™ software with EasyBuilder® to set up and monitor machine vision inspections. The intuitive interface guides operators through a step-by-step setup process allowing both novice and experienced users to configure vision applications quickly and easily.
While many applications can be solved using the point-and-click EasyBuilder interface, users can access the In-Sight spreadsheet for ultimate control through direct access to the vision tools and communication options. Access to the spreadsheet not only provides programming flexibility to make essential adjustments, it also offers assurance that you will be able to solve any vision application.
In-Sight vision processing tools consist of functions that extract and process image features for further data analysis and decision making. The In-Sight vision toolset consists of:
Blob tools are used to detect features have similar shades of grey scale. Blob is very useful for quantifying defect sizes or for locating features that do not have a repeatable shape. Blob can be used for monochrome and color images to quantify the amount of a particular color present.
Edge tools are used to detect dark and light transitions on a part. Edge tool results can be used to measure distances and can also be used to inspect by counting the number of edges found. Edges can also be used to detect and measure circles and arcs. The InspectEdge tool tracks an edge of a part to inspect for defects.
The Flaw Detection tools, including Flex Flaw and Surface Flaw, are used to inspect contours and the surface area of parts. These advanced technologies are able to adapt to variations in lighting and in part appearance.
Geometry tools are used to measure critical dimensions of a part with point-and-click simplicity. Angles, arcs, diameters and point-to-line distances use real world calibration to provide accurate and repeatable results.
Histograms are used to inspect or monitor features of parts based on brightness.
1DMax and 2DMax+ barcode reading algorithms achieve the highest read rates for 1-D and 2-D barcodes, including decoding challenging 2-D direct part mark (DPM) codes.
Advanced image filtering is used to highlight features or remove features of parts before doing additional processing with other vision tools. For color cameras, true 24-bit color filters are available.
The OCV/OCR tool segments, extracts and trains fonts for optical character recognition (OCR) and optical character verification (OCV) of characters in an image. The font trainable tool accurately reads low-contrast or unevenly-spaced characters on confusing backgrounds.
Locating a part accurately is the first step in most vision applications. Cognex’s industry leading pattern matching technologies, such as PatMax RedLine, provide unmatched accuracy and robustness, even with rotation, scale and lighting variations.
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