Our blog on “Vision Sensors Terminologies”! Vision sensors are essential in many industries. They aid in manufacturing and robotics. Vision sensors interpret visual information, aiding automation. Terminologies can be challenging for beginners. That’s where this blog comes in!
In this blog series, we explore vision sensor terminologies. We provide clear explanations for better understanding. Our goal is to simplify complex terms for engineers, researchers, and the curious. So, let’s begin our journey into the world of vision sensors and unlock the secrets behind their functionalities.
A
Accessories:
Accessories for vision sensors are add-on components that enhance sensor functionality. They can range from mounts and cables to software tools, all designed to optimize performance. These are usually sold and provide flexibility and customization based on individual needs.
Ambient Atmosphere:
The ambient atmosphere refers to the environmental conditions around the vision sensor. Factors like air quality, pressure, or the presence of certain gases are all part of the ambient atmosphere. Sensors have specific operating conditions. Understanding is crucial for optimal usage.
Ambient Humidity:
This term refers to the moisture content in the air where the vision sensor operates. High humidity can impact sensor performance. Sensors have specific humidity tolerance. Knowing the sensor’s humidity tolerance can help maintain its functionality and longevity.
Ambient Temperature:
Ambient temperature is the surrounding temperature of the sensor. Extremes impact performance. Sensors have temperature limits. It’s important to use the sensor within its specified temperature range to ensure accurate operation.
C
Camera Interface:
A camera interface is a way through which a vision sensor connects and communicates with a camera. It’s a path for transferring image data from the camera to a computer or processor for analysis. Different interfaces, like USB, Ethernet, or HDMI, may be used depending on the camera’s capabilities and the intended use case.
Case Material:
The case material refers to the type of substance used to construct the outer casing of the vision sensor. Materials like plastic, metal, or composites are often used. Case material impacts the durability, weight, and resistance of the sensor to heat and moisture.
Current Consumption:
Current consumption refers to the amount of electrical current a vision sensor uses during operation. Measured in amperes (A), it indicates the sensor’s power demand. Lower current consumption means better energy efficiency. Crucial for battery-powered or energy-conscious applications. Understanding helps with power supply planning.
D
Degree of Protection (IP Rating):
The IP rating of a vision sensor indicates its protection level against dust and water. The first digit after “IP” shows resistance to solids like dust, while the second signifies water resistance. For instance, IP67 means the sensor is dust-tight and can withstand temporary immersion in water.
Dimensions:
Dimensions refer to the physical size of the vision sensor. They usually include length, width, and height. Knowing sensor dimensions is crucial for installation in tight or specific spaces.
Double Speed Multi-input:
This term refers to a sensor’s ability to process many inputs at twice the regular speed. It’s especially useful in high-speed applications, where quick data processing is critical. This feature allows sensors to handle more data, improving performance.
E
EtherCAT Communication:
EtherCAT is a communication system for vision sensors. High-speed and efficient protocol. Enables real-time data exchange with other devices. This makes it particularly useful for automation applications.
Ethernet Communication:
Ethernet communication is a common method of connecting vision sensors to networks or devices. It uses Ethernet cables for data transmission. This type of connection is often chosen for its speed, reliability, and ability to handle high data volumes.
EtherNet/IP Communication:
EtherNet/IP stands for Ethernet Industrial Protocol. It’s an industrial networking standard that enables data exchange between industrial devices over Ethernet. In the case of vision sensors, it allows them to share images and control data with other networked devices.
External Features:
The external features of a vision sensor refer to its visible physical attributes. These might include the color, shape, button layout, or display screen of the sensor. External features can impact user interaction, ease of use, and the sensor’s suitability for specific environments.
External Interface:
The external interface of a vision sensor refers to the points of interaction between the sensor and other devices. This can include data ports, power connectors, or communication links like Ethernet. An external interface enables the sensor to connect with, send data to, and receive data from other devices or systems.
F
Fast Transient Burst Grounding:
This term refers to a vision sensor’s ability to handle quick changes in power, also known as transient disturbances. Such rapid shifts can occur due to various reasons, like power surges or load changes. Fast transient burst grounding ensures stable sensor operation for accurate data collection.
I
Indicator Lamp:
An indicator lamp on a vision sensor is a small light that provides visual cues about the sensor’s status or operation. It can signal various states, like power on/off, active data capture, or error conditions. By observing the indicator lamp, users can understand the sensor’s current state and respond, making it a key feature for ease of operation.
M
Main Functions:
The main functions of a vision sensor define its core capabilities. The main functions include image capture, analysis, and specific output based on analysis. Determines usefulness in various applications.
Memory, Storage:
Memory or storage in a vision sensor refers to its capacity to save data. This can include images captured, analysis results, or settings. More storage allows the sensor to handle more data, enhancing its flexibility and performance.
Multi-line Random-trigger Mode:
This mode in a vision sensor allows it to receive triggers from many sources in no particular order. Multi-line random-trigger mode offers flexibility in complex setups for image capture and analysis.
N
Noise Immunity:
Noise immunity in vision sensors allows operation despite electromagnetic interference or electrical noise. High noise immunity ensures accurate performance in noisy environments, unaffected by external disturbances.
Non-stop Adjustment Mode:
Non-stop change mode allows continuous optimization of settings without interrupting sensor operation. The adaptive mode enables real-time adjustments for optimal performance and accurate results. No manual intervention or halting is required.
Number of Captured Images:
The number of captured images refers to the number of images that a vision sensor can capture and process within a given timeframe. The capability is crucial in image-intensive applications. Many images were analyzed or recorded for further inspection. More images captured, better data collection. Sensor handles high-throughput tasks.
Number of Connectable Cameras:
This term refers to the largest number of cameras that a vision sensor can connect to. Some camera inputs determine the sensor’s data handling capacity. Enables comprehensive collection and analysis.
Number of Cores:
The number of cores in a vision sensor indicates the number of processing units within its central processing device. More cores mean more processing power. Sensor handles complex tasks and parallel processing for efficient data analysis.
Number of Logging Images to Sensor Controller:
This term indicates the largest number of images that a vision sensor can log or store within its own sensor controller. Capacity determines the sensor’s ability to keep image data. Reduces the need for external storage, and simplifies data management.
Number of Scenes:
The number of scenes refers to the greatest quantity of different visual settings or situations that a vision sensor can handle. It represents the sensor’s ability to adapt to various environmental or operational conditions. More scenes, greater versatility. Sensor handles diverse scenarios. Enhances flexibility in applications. Beneficial in diverse settings. Sensor handles changing conditions. Manufacturing lines, varying lighting conditions.
O
Operating Modes:
Operating modes define the sensor’s configurations. Determines sensor’s functions. These modes can include options such as inspection mode, calibration mode, or teach mode. Modes define parameters and behaviors. Users adapt the sensor’s operation. Accommodates different tasks, and requirements. Appropriate mode selection optimizes sensor performance. Matches desired application and inspection criteria.
Operation Mode:
The operation mode refers to the current mode in which a vision sensor is functioning. Mode indicates specific sensor settings and behavior. Includes image capture, data analysis, and output. The mode was selected/changed based on application requirements. Users configure sensors for desired functionality and performance.
P
Parallel I/O NPN/PNP:
Parallel I/O NPN/PNP refers to the input/output configuration used in a vision sensor. NPN and PNP are two types of bipolar junction transistors used for signal switching in electrical circuits. NPN is used for a sourcing output, while PNP is used for a sinking output. NPN or PNP is chosen based on application requirements. Compatibility with other devices considered.
Parallel Processing:
Parallel processing in a vision sensor refers to the ability to perform many tasks or data operations. The task is divided into subtasks. Boosts processing speed, and efficiency of the sensor. Parallel processing is beneficial in high-speed applications. Critical for real-time data analysis.
Power-supply Voltage:
voltage refers to the electrical voltage required to operate a vision sensor. It represents the level of electric potential needed to provide power to the sensor for its normal functioning. The voltage is specified by the manufacturer and must be supplied within the specified range to ensure the sensor’s proper operation.
PROFINET Communication:
PROFINET is an industrial Ethernet protocol. Enables communication between vision sensors and automation devices. It enables high-speed data exchange and real-time control in industrial environments. PROFINET enables seamless integration and interoperability of vision sensors. Facilitates efficient data transmission, synchronization, and coordination. Improves automation, and process control.
S
Sensor Controller Model:
The sensor controller model refers to a specific device managing a vision sensor. Controls sensor operation. The controller acts as a central processing unit. Coordinates data acquisition, analysis, and communication.
Sensor Controller Series:
Controller series: a group of models with similar features, capabilities, and compatibility. Controllers in series share a common architecture. Support various sensors. Enables scalability, and flexibility in system design.
Serial Communication:
Serial communication is a method of data transmission where bits are sent over a single communication line. In the context of a vision sensor, it involves the exchange of data with other devices or systems using a serial protocol, such as RS-232 or RS-485.
Setup Language:
Setup language: programming language or user interface for sensor configuration. Setup language allows users to define parameters, adjust algorithms, and specify behavior. Matches specific requirements.
Shock Resistance:
Shock resistance measures the sensor’s ability to withstand impacts and vibrations. Avoids damage, and performance degradation. High shock-resistant sensors withstand drops, vibrations, and mechanical stress. Reliable operation in harsh environments.
Standard Mode:
Standard mode refers to the default operating mode of a vision sensor. A default configuration and functionality of the sensor. No customizations or specialized settings. Standard mode: sensor performs core functions, and provides standard output. Follows predefined parameters, and algorithms.
Supported Cameras:
Supported cameras are the types or models of cameras that can be connected and used with a specific vision sensor. Vision sensors have compatibility with different camera types. USB cameras, GigE cameras, specific models. Supported cameras determine flexibility and options for image capture. Users choose cameras based on requirements, and budget.
T
Touch Panel Support:
Touch panel support refers to the capability of a vision sensor to interface with a touch panel display. Users interact with the sensor using touch-based input. Intuitive interface for configuration, and operation.
U
USB Mouse Support:
USB mouse support indicates that a vision sensor can connect and interface with a USB mouse. Users navigate menus and select options using a connected mouse. Enhances ease of use, and control. Alternative input method.
V
Vibration Tolerance:
Vibration tolerance: sensor’s ability to withstand vibrations, and shocks. Ensures operation and functionality. High vibration-tolerant sensors reduce the impact on performance. Accurate, stable operation in industrial, harsh environments with vibrations.
W
Weight:
Weight refers to the physical mass of a vision sensor. It is an important consideration for portability, installation, and mounting purposes. Sensor weight affects handling, transportation, and integration. Impact on applications, systems.
Conclusion
In conclusion, we have explored a range of important terminologies related to vision sensors. We have covered terms such as pixel resolution, frame rate, field of view, image processing, and more. Understanding terms is crucial for working with vision sensors.
It aids those interested in the technology. Familiarizing with terms enhances understanding of vision sensor capabilities. Informed decisions result from implementation. Technology advances, vision sensors transform industries, and automation. We hope this blog series offered valuable insights on vision sensors. Happy exploring!