In-Sight SnAPP
Easy-to-use vision sensor powered by AI
The In-Sight SnAPP vision sensor allows manufacturers to quickly automate processes and quality control tasks, with no experience needed. Using pre-trained AI, these easy-to-use sensors solve a range of simple error-proofing applications to ensure peak machine performance, support predictive maintenance, and enable continuous improvement.
What are vision sensors?
Types of sensors used in factory automation
Beyond vision sensors, there are a variety of sensor technologies manufacturers can choose from when automating their production lines. Each sensor type is designed for specific tasks, depending on factors like the application, environment, and level of precision required. Some of the most commonly used sensors in factory automation include photoelectric, laser, proximity, fiber optic, and ultrasonic sensors.
Vision sensors in factory automation
In factory automation, vision sensors and other sensor types, such as photoelectric, proximity, and ultrasonic sensors, each serve specific roles, offering unique advantages based on the application.
Vision sensors use cameras and image-processing algorithms to capture and interpret visual information. They effectively “see” the entire scene and analyze it. These sensors are ideal for tasks that require detailed visual analysis, including pattern recognition and decision-making based on shape, color, orientation, or position. Vision sensors excel at complex applications like:
- Quality inspection
- Part identification
- Presence verification
- Robotic guidance
Traditional sensors in factory automation
Traditional sensors, on the other hand, are designed to detect specific physical properties with high precision. These include:
- Presence/absence detection
- Object counting
- Distance or height measurement
- Edge positioning
- Dimensional gauging
These sensors are typically faster and more cost-effective for simpler tasks but are limited to binary data and are not suited for interpreting complex visual details.
In summary, vision sensors offer powerful capabilities for applications requiring in-depth visual understanding, while traditional sensors serve as more specialized tools for detecting binary conditions like presence, distance, or position with high speed and precision.
Benefits of using vision sensors
User-friendly setup
Automate in minutes with intuitive, no-code setup.
Flexible performance
Analyze multiple features at the same time and perform inspections that traditional sensors cannot.
Ability to handle variation
Operate in unstructured environments and detect objects regardless of their position or speed on the line.
Simplified integration
Replace multiple laser-based sensors with a single vision sensor.
High accuracy
Improve processes and product quality by detecting subtle anomalies.
Vision sensors vs. vision systems: what's the difference?
While both vision sensors and vision systems analyze visual information, they differ in complexity, flexibility, and capability.
Vision sensors are designed for ease of use and are ideal for performing a single, specific task, such as detecting presence, verifying part orientation, or checking simple defects. They are well-suited for straightforward automation and quality control applications where minimal setup and quick deployment are important.
In contrast, vision systems are more advanced and customizable. They can handle complex inspections, analyze multiple features simultaneously, and adapt to dynamic or challenging environments. Although they require more upfront integration and configuration, vision systems deliver higher flexibility and performance for complex applications like 3D inspection, advanced defect detection, robotic guidance, and high-precision measurements.
Vision sensors offer a simple, reliable solution for basic inspections, while vision systems provide greater capability and adaptability for more complex industrial applications.
How do vision sensors work?
Vision sensors operate by capturing and analyzing images in real time using a combination of optics, lighting, and intelligent software tools. Through advanced image processing, they “see” parts and make reliable inspection decisions based on visual criteria such as pattern, features, or color.
Vision sensor applications
Presence/absence detection
A vision sensor's primary function is to detect an object's presence or absence within a specified region of interest. The output for these types of applications is typically binary, such as “yes/no,” “pass/fail,” or “OK/NG,” and can be used in both product and process-related tasks.
Process monitoring
Vision sensors ensure an automated system is running correctly and reduce errors in machine setup. For example, they verify that the system is diverting bad parts, communicating the right information to a centralized database and that parts are coming through the line as intended.
Sortation
At the most fundamental level, vision sensors perform binary classification. However, they also run multi-class inspections to sort defects into different categories based on multiple features or characteristics and correctly identify parts with variation.
Assembly verification
Vision sensors recognize multiple types of components in varying layouts and configurations to automate assembly and completeness checks. They locate and confirm whether components are present and correct and find damaged or missing parts in kitted products.
Optical character recognition
In OCR applications, vision sensors convert alphanumeric text into a machine-readable format for traceability purposes. They can decipher different font types and read characters on reflective, low-contrast, and non-flat surfaces.
Object counting
Vision sensors are used in counting applications to verify the correct number of components in a kit or packaged assembly. Similarly, they are also used to ensure parts move down production lines at the correct rate to achieve capacity and throughput targets.
Identification
With the ability to read a variety of 1D and 2D barcodes, vision sensors enable manufacturers and logistics facilities to track and trace parts. They interpret codes into usable information, which is then transferred to a centralized system where it can be used to track inventory and shipments, verify product authenticity, and manage returns and recalls.
Smarter inspections start here
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