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This cutting-edge vision system delivers a robust, user-friendly solution for automated inspection tasks. Equipped with a suite of precise rule-based tools and cutting-edge edge learning technology, the In-Sight 3800 efficiently handles a broad spectrum of industrial tasks. These range from identifying defects and confirming assembly accuracy to reading characters and beyond, empowering you to:
Step up the pace. The In-Sight 3800, with double the processing capacity of its predecessors, sets the standard for performance across manufacturing tasks. Its rapid tool speeds align with your production needs, boosting output and enhancing the efficiency of your automated processes.
The In-Sight 3800 incorporates state-of-the-art edge learning capabilities, democratizing AI technology for all skill levels. These tools enable both novices and seasoned professionals to implement dependable automation effortlessly through straightforward, example-based instruction. With the help of pre-trained algorithms, edge learning adeptly manages various tasks, from simple presence/absence detection to complex multi-class sorting and sophisticated optical character recognition.
Beyond edge learning, the In-Sight 3800 is armed with an extensive selection of rule-based tools. These tools, which can be applied independently or in combination, offer the versatility to employ both traditional, rule-based vision techniques and AI technology. This comprehensive toolkit allows for measuring distances and shapes, counting pixels and identifying patterns, decoding information, guiding robotics, executing calculations, and more.
The system captures high-definition images under any condition. Its multi-colored lighting system (RGBW and IR) ensures optimal image clarity, enhancing contrast and brightness regardless of the surroundings. A simple click within the In-Sight Vision Suite alters lighting conditions, producing sharper images for more precise inspections.
The advanced HDR+ technology elevates HDR’s potential by automatically boosting contrast, delivering a consistently detailed and balanced image in a single capture. This enhancement reveals previously indiscernible details and reduces exposure times, facilitating quicker production speeds.
Powered by the In-Sight Vision Suite software, shared across all In-Sight devices, the In-Sight 3800 offers two development interfaces – EasyBuilder® and spreadsheet. EasyBuilder’s intuitive design is perfect for straightforward tasks, whereas the spreadsheet environment caters to complex or highly tailored projects.
The In-Sight 3800 vision system’s modular hardware design easily adapts to varying application requirements and customizations. With interchangeable components, the system can be tailored to meet evolving demands, such as new part specifications, heightened quality expectations, and accelerated delivery schedules.
| Image Sensor | IS3801M | IS3801C | IS3803M | IS3803C | IS3805M | IS3805C |
|---|---|---|---|---|---|---|
| In-Sight 3800 Series Specifications | ||||||
| Bit Depth | 8-bit monochrome | 24-bit color | 8-bit monochrome | 24-bit color | 8-bit monochrome | 24-bit color |
| Frames per Second (Maximum, Full Resolution) | 125 fps | 52 fps | 47 fps | 30 fps | 32 fps | 21 fps |
| Sensor Type | 1/2.3” CMOS, global shutter | 1/1.8” CMOS, global shutter | 2/3” CMOS, global shutter | |||
| Sensor Properties | 6.3 mm diagonal 3.45 x 3.45 μm square pixels | 8.9 mm diagonal 3.45 x 3.45 μm square pixels | 11.1 mm diagonal 3.45 x 3.45 μm square pixels | |||
| Maximum Image Resolution (pixels) | 1440 x 1080 | 2048 x 1536 | 2448 x 2048 | |||
| Electronic Shutter Speed | 19.5 μs to 200,000 μs | 25.1 μs to 200,000 μs | 19.1 μs to 200,000 μs | |||
| Image Sensor | IS3808M | IS3808C | IS3812M | IS3812C | IS3816M | IS3816C |
| Bit Depth | 8-bit monochrome | 24-bit color | 8-bit monochrome | 24-bit color | 8-bit monochrome | 24-bit color |
| Frames per Second (Maximum, Full Resolution) | 24 | 12 | 22 | 11 | 18 | 8 |
| Sensor Type | 2/3″ CMOS, global shutter | 1/1.1” CMOS, global shutter | 1.1” CMOS, global shutter | |||
| Sensor Properties | 11.1 mm diagonal, 2.74 x 2.74 μm square pixels | 14.0 mm diagonal, 2.74 x 2.74 μm square pixels | 16.8 mm diagonal, 2.74 x 2.74 μm square pixels | |||
| Maximum Image Resolution (pixels) | 2840 x 2840 | 4096 x 3000 | 5320 x 3032 | |||
| Electronic Shutter Speed | 22 μs to 200,000 μs | 22 μs to 200,000 μs | 29.1 μs to 200,000 μs | |||
| Vision System | ||||||
| Memory | 4 GB | |||||
| Lens Type | C-Mount, Cognex High Speed Liquid Lens Autofocus, or Cognex manual focus lens (used with Multi-Torch Illumination accessory). | |||||
| Trigger | 1 opto-isolated, acquisition trigger input. | |||||
| Discrete Inputs | 1 opto-isolated, acquisition trigger input. Up to 3 general-purpose inputs when connected to the Breakout cable. | |||||
| Discrete Outputs | Up to 4 high-speed outputs when connected to the Breakout cable. | |||||
| Status LEDs | Pass/Fail LED and Indicator Ring, Network LED and Error LED. | |||||
| High Speed Liquid Lens Lifespan | Number of Focus Cycles: 1800 M cycles | |||||
| Job/Program Memory | 7.2 GB non-volatile flash memory; unlimited storage via remote network device. | |||||
| Image Processing Memory | 512 MB SDRAM | |||||
| Network Communication | 2 Ethernet ports, 10/100/1000 BaseT with auto MDIX. IEEE 802.3 TCP/IP Protocol. 1 USB-C port (supports direct connection to In-Sight Vision Suite on a PC, no factory floor protocols supported) Supports DHCP, static, and link-local IP address configuration. One port supports TSN networks. | |||||
| Communication Protocols | TCP/IP, PROFINET, EtherNet/IP, SLMP, ModbusTCP, (S)FTP, RS-232C | |||||
| Power Consumption | 24 V DC ± 10%, 2.0 A maximum. | |||||
| Power Output | 24 V DC at 1.0 A maximum to external light. | |||||
| Material | Die-cast Zinc housing. | |||||
| Finish | Painted. | |||||
| Mounting | Four M3 threaded mounting holes. See Accessories for supported mounts. Pattern: 38.5 × 58.5 mm (1.52 × 2.60 in) | |||||
| Weight | In-Sight 3800 with no accessories attached: 570 g (20.10 oz). With 45 mm plastic C-Mount cover (COV-380-CMNT-45): 625 g (22.0 oz.) – no lens included. With 60 mm plastic C-Mount cover (COV-380-CMNT-60): 635 g (22.4 oz.) – no lens included. With 75 mm plastic C-Mount cover (COV-380-CMNT-75): 650 g (22.9 oz.) – no lens included. With Multi-Torch Illumination, High Speed Liquid Lens (16 mm), and standard front cover: 840 g (29.6 oz.). With Multi-Torch Illumination, High Speed Liquid Lens (16 mm), and dome attachment: 970 g (34.2 oz.). | |||||
| Ambient / Environment Temperature | 0° C to 40° C (32° F to 104° F) | |||||
| Storage Temperature | -20° C to 80° C (-4° F to 176° F) | |||||
| Humidity | <95% non-condensing | |||||
| Protection | IP67 with all cables properly attached (or the provided connector plug installed), the IP67-rated cover, or Multi Torch attachment properly installed. | |||||
| Packaging shock spec (not device itself) | IEC 60068-2-27: 18 shocks (3 shocks in each polarity in each (X, Y, Z) axis) 80 Gs (800 m/s2 at 11 ms, half-sinusoidal) with cables or cable plugs and a 150 gram or lighter lens attached. | |||||
| Vibration | IEC 60068-2-6: vibration test in each of the three main axis for 2 hours at 10 Gs (10 to 500 Hz at 100 m/s2 / 15 mm) with cables or cable plugs and a 150 gram or lighter lens attached. | |||||
| Regulations/Conformity | CE, FCC, KCC, TÜV SÜD NRTL, EU RoHS, China RoHS | |||||
NOTE: The above field of view diagrams are based on the minimum and maximum focus distances of the High Speed Liquid Lens. If using a High Speed Liquid Lens with the Multi Torch light accessory, the system will perform best at distances between 150mm and 500mm in terms of light intensity/uniformity.
In-Sight Vision Suite software is common across all In-Sight products and includes two programming environments – EasyBuilder® and spreadsheet – which allow you to seamlessly scale your solution as your application needs change.
With its point-and-click programming, the EasyBuilder® interface within In-Sight Vision Suite is ideal for setting up simple or common jobs. The intuitive process guides developers step-by-step through setup—from image capture to the final result and beyond—allowing both new and experienced users to configure reliable vision applications.
The spreadsheet interface is ideal for building advanced and highly customized applications. Robust in design, this development environment provides users with the ability to make critical adjustments to job parameters, without the need for programming. It enables you to quickly set up and run jobs and continue to adapt applications as your requirements evolve.
In-Sight 3800 is embedded with a full suite of traditional and AI-based vision tools that solve a variety of error-proofing applications. This comprehensive library accommodates all skill levels by providing access to industry-proven, rule-based algorithms, such as Measure Distance, Measure Angle, Count Patterns and Math and Logic Tools, as well as innovative, easy-to-use ViDi EL tools. The tools can be used individually or combined, giving you the ability to leverage the best of both traditional, rule-based vision and edge learning technology.
Edge learning is a subset of AI that uses a pre-trained set of algorithms to solve vision tasks in minutes. Training is simple, requiring as few as 5 to 10 example images with no advanced programming or AI expertise required. Powered by edge learning, ViDi EL tools help you automate and scale inspection applications. These innovative tools deliver fast processing speeds to increase throughput, keep pace with your operations, and deliver fast, reliable results in real-time.
The ViDi EL Segment tool allows users to segment images to extract particular regions for targeted inspection. The region can include any type of feature on a part that you want to identify, from unwanted defects to critical components. Users train the tool by marking the region(s) of interest on an image and assigning it a class. After training just a few sample images, the tool learns to reliably segment the right features, even with varied parts and complex backgrounds.
The ViDi EL Classify tool automatically identifies and sorts objects into classes based on user-defined features, characteristics, or defect types. Capable of discerning visually similar, but different objects, this tool enables you to classify defects into different categories and correctly identify parts with variation. Along with the ability to assign multiple classifications, you can set up multiple regions of interest to inspect different sections of your part.
The ViDi EL Read tool deciphers a variety of text and font types using AI-based optical character recognition (OCR). It reads multi-line text, as well as characters against challenging backgrounds, including reflective, low-contrast, and non-flat surfaces. ViDi EL Read can also be quickly redeployed to handle new text and accommodate process variations. The tool offers two training modes to address character reading applications of varying complexity:
In-Sight 3800 helps you lead with speed across all industries by automating a wide range of inspection applications, at the fastest speeds. With modular hardware and an extensive tool set, In-Sight 3800 offers an industry-agnostic solution that allows you to maximize throughput and improve the accuracy of your results, regardless of the task at hand.
Identify surface-level defects, such as scratches, dents and tears, and generate pass/fail results.
Decipher hard-to-read text etched on metallic surfaces to ensure proper routing and traceability.
Determine whether parts are good or bad based on presence/absence of defects.
Verify presence/absence of o-rings and classify them by color during assembly.
Measure the distance between components to verify full assembly and prevent rework further downstream.
Read DOT codes on low-contrast and reflective surfaces to identify parts.
Segment sections in oil pumps and extract specific features to perform targeted inspections.
Identify subtle and variable defects on automotive air filters to ensure quality standards and prevent recalls.
Locate and segment different regions of car doors to check for defects during assembly.
Detect edges and measure the distance between them to ensure correct sizing of EV battery pack assemblies.
Easily handle product changeovers by deciphering lot codes against backgrounds of different colors.
Detect presence/absence of contents and classify them by color to ensure proper assembly.
Guide robotic arms to pick and place assembled products into bins for final routing.
Identify different classes (scents) to ensure the correct one is attached to the packaging.
Count components to verify completeness and ensure proper functionality at time of use.
Detect presence/absence of components, based on varying brightness levels, during assembly.
Extract different regions on a PCB and classify them to verify correct assembly.
Read barcodes, even on curved surfaces, to ensure proper traceability.
Read lot codes and expiration dates, on uneven surfaces, to ensure product freshness and prevent recalls.
Detect and classify multiple defects, such as damaged or missing parts, on packaging.
Ensure shape uniformity of products moving down the line.
Read lot codes on multiple products at the same time, even with variable positioning.
Detect and classify multiple types of defects on aluminum cans to ensure product integrity.
Read multiple lines of text, simultaneously, to ensure proper routing.
Read 2D codes and lot numbers, at the same time, to properly route components for final assembly.
Perform on-line verification at high speeds to ensure product efficacy and meet regulatory compliance. to ensure product integrity.
Detect and separate the liquid levels in test tube samples to verify correct segmentation.
Read 2D codes and lot numbers across multiple products at the same time to properly track components.
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