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Sensors for future-proof manufacturing

Automation in the automotive industry

As a leading sensor manufacturer in the automotive sector, SensoPart supports manufacturers in the automation of their production processes. Our advanced vision sensors deliver performance where conventional technologies fall short.

From part identification in the press shop to position monitoring in body construction and presence checks during final assembly, SensoPart sensors optimize every stage of vehicle production—making processes safer, more efficient, and more accurate.

Automate production with SensoPart: Key advantages for Automotive Manufacturing

SensoPart’s vision sensors for industrial image processing deliver measurable advantages:

  • Flexibility: One of the most comprehensive vision sensor families on the market, adaptable to individual industry requirements
  • Greater Efficiency: Minimize downtime and maximize resource utilization
  • Improved Quality: Detect errors early to reduce scrap, rework, and costly delays
  • Connectivity: Seamlessly integrate with existing systems via PROFINET, Ethernet/IP, and more
  • Ease of Use: AI-powered tools simplify setup and operation

    Directly to the sensors


Customized Solutions for Automotive Applications

Every stage of automotive manufacturing demands precision, efficiency, and high quality. With SensoPart vision sensors, you get the right technology to make a real impact on your specific application.

Thanks to robust hardware and intuitive, user-friendly software, our sensors are easy to install and maintain, regardless of experience level. The VISOR® series integrates seamlessly into the systems and protocols used by leading automotive manufacturers. And when you need support, our team is here with expert guidance and technical know-how. With SensoPart, you have a reliable partner focused on your long-term success.

The power behind your assembly line pdf, 2.12 MB

Press Shop: Quality That Takes Shape

Consistent part quality starts with reliable tool monitoring. In the press shop, our sensors help detect tool wear early, ensuring stable processes and high-quality output, even under tough operating conditions.

For challenging identification tasks, SensoPart’s global shutter technology enables fast and reliable code reading, for example when reading the delivery note. Whether you’re scanning 1D barcodes, 2D Data Matrix codes, or plain text on transport crates, VISOR® code readers deliver dependable results and complete traceability. Optional accessories like spotlights are also available for optimized performance in harsh environments.

Car Body Construction: Customized Solutions for Maximum Precision and Stability

Our vision sensors support automation processes in car body construction by providing precise position data, minimizing tolerances, and ensuring efficient and error-free production. Automatic calibration and maintenance routines minimize downtime.

For example, when reading Data Matrix codes on sheet metal parts, the VISOR® Code Reader delivers exceptional performance, even with inconsistent dot contrast, angled surfaces, or varying distances. Advanced features like software filters, multiple image capture, and flexible mounting options ensure consistently high read rates. For robotic material handling, the VISOR® Robotic +Z is ideal for removing stacked sheet metal parts from load carriers with precision. Easily mounted to a robot gripper, it combines vision and distance sensing to deliver position data accuracy to less than one millimeter. Even large, reflective sheet metal parts with uneven orientation or varying stack heights can easily be picked and placed.

Paint Shop: Precision You Can See

Automating processes in the paint shop leads to consistently flawless results. SensoPart vision sensors monitor the application and removal of materials, catching even the smallest errors early, reducing costly rework and quality issues.

The VISOR® Object (AI), for example, reliably detects hold-down devices during position monitoring—even when their orientation changes or they vary in shape and color. It ensures that critical components are correctly positioned before painting begins, helping prevent process errors that could impact finish quality. Powered by AI, the sensor can be set up in just a few simple steps, no specialized vision expertise required.

 

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Material handling: Logistics at its best

Seamless component movement is essential to keeping production on track. Automated Guided Vehicles (AGVs) play a key role by ensuring components are reliably identified and delivered to the right place at the right time.

Our Target Mark 3D technology simplifies robot-assisted refueling of AGVs by precisely locating both the vehicle and the tank opening without the need for complex image processing. With fully automated hand-eye calibration, the VISOR® sensor delivers exact X/Y coordinates and angle data, with no time-consuming recalculations required on the robot controller. Its compact design also allows for easy integration directly into the robot gripper.

Assembly: Precision in Every Move

In fast-paced assembly environments, even small errors can lead to costly delays. Our vision sensors help prevent mix-ups and assembly mistakes, ensuring maximum process reliability. Take automated screw fastening, for example: Instead of relying on manual processes, which are time-consuming, resource-intensive, and error-prone, our VISOR® sensor accurately detects the position of screw holes on the car body and provides precise data to the vision-guided robot. Designed specifically for robotic integration, the VISOR®'s compact hardware fits directly onto robot grippers. And with intuitive, user-friendly software, it can be seamlessly integrated with leading robot systems like KUKA and Universal Robots.

For connector locking control during assembly, VISOR® Object offers a powerful solution, automating inspection tasks to prevent electrical or mechanical failures. Whether stationary or robot-mounted, it delivers fast, reliable image evaluation in milliseconds, making it a flexible, high-performance tool for efficient quality control and inspection.

Suppliers: Reliable Quality from the Start

Consistent quality in the supply chain is critical; errors caught late in the process can drive up costs during final assembly. Our vision sensors help prevent those issues before they happen.

A practical example is the presence check of clips on dashboards: our AI-based sensors reliably detect even shiny or black clips and ensure precise results even under difficult conditions.

Drive Train: Innovation for Tomorrow’s Mobility

Automate battery and electric motor production to maximize efficiency and quality. Our vision sensors deliver precise data that elevates your quality assurance process.

When it comes to reading data matrix codes on battery cells, the VISOR® Code Reader excels in real-world conditions. Thanks to multiple optical variants and integrated interfaces, it adapts easily and accurately reads codes, even on low-contrast, cylindrical, or shiny surfaces. It also handles large volumes of codes quickly and reliably, ensuring full traceability, consistent quality, and smooth, uninterrupted production flow in battery production.
 

Choose the Right Vision Sensor for Your Application Needs

Our reliable, cutting-edge automation solutions integrate seamlessly with your existing systems. Trust our expertise to future-proof your production lines and keep you ahead of tomorrow’s demands.

Our code reader for the reliable reading of barcodes, directly marked Datamatrix codes and 1D/2D codes mixed

VISOR® Code Reader for Identification Tasks

  • Reliable and fast reading of all common code types with minimal setup
  • Recognizes printed, needle-punched, and laser-marked codes
  • Analyzes quality parameters according to current Industry standards
 Vision sensor for presence and completeness check, position and quality control as well as for simple measuring tasks

VISOR® Object (AI) for Inspection Tasks

  • Flexible for any application with multiple hardware and software options
  • Easy integration with powerful result processing and logic functions
  • Advanced AI technology designed for industrial automation
The vision camera can be integrated directly on the robot gripper

VISOR® Robotic for Positioning Tasks

  • Compact, lightweight housing for both mobile and stationary use
  • Application-specific calibration methods for maximum precision
  • Fast, simplified setup with 3D grip point transformation

Explore Real-World Automotive Applications

The following application examples demonstrate the practical uses of our products.

Filter application examples

41 Application examples match your search criteria

Description
Application
Description
Automated assembly of electrical plug connections

The modules installed in the high-voltage battery must be electrically connected to each other, and the connectors must be applied accurately to avoid damage.

Application
Positioning
Description
Automated bolting of the upper housing part

The upper part of the housing must be screwed to the lower part of the housing. To do this, the sensor must detect the position of the screw holes in the housing top.

Application
Positioning
Description
Check of the correct feeding of screws in the right position

The quantity of screws required for battery pack assembly is stored in a bunker feed system  and fed from there to the screwing systems accordingly. For smooth production, it is important that misaligned screws are detected by the sensor and only those in the correct position are fed to the screwing system.

Application
Inspection (AI)
Description
Check the right type of fuel filler necks

In automobile production, different vehicle variants are manufactured on one and the same production line. In order to ensure that the correct type of 
tank nozzle
 has been installed in the correct vehicle, a vision sensor should carry out a type check.

Application
Classification AI
Description
Check the right type of fuel hoses and clips

In automated automobile production, it is important to check whether the correct fuel hoses and clamps have been installed. The components are to be checked with the aid of a vision sensor.

Application
Classification AI
Inspection (AI)
Description
Check the right type of switches on the dashboard

In automobile manufacturing, the switches on the dashboard vary depending on the vehicle model.
To ensure that the correct switches have been installed in the correct vehicle, a vision sensor should carry out a type check.

Application
Classification AI
Inspection (AI)
Description
Comparing Plain Text and DMC-Codes

In modern production facilities, where traceability and quality control are essential, reading OCR and DMC codes on components plays a key role. These codes are used not only for identification, but also to ensure complete traceability of products and components throughout complex manufacturing processes. A reliable vision system must not only recognize OCR and DMC codes, but also compare them against each other.

Application
Identification
Description
Control of safety and identification labels

The labeling of the battery pack requires the manual application of safety and identification stickers. Incorrect or inaccurately positioned labels could lead to misinterpretation or misuse of the battery pack, necessitating label verification.

Application
Inspection (AI)
Description
Detection and Control of Thermal Paste on Printed Circuit Boards

On many PCBs, thermal paste ensures optimal heat transfer between electronic components and a heat sink. Incorrect application of thermal paste can lead to damage to the components. To prevent this risk, a camera should check the thermal paste for presence, position and correct geometry.

Application
Detection
Inspection (AI)
Description
Detection of the screws in the feeder

The quantity of screws required for battery pack assembly is stored in a bunker feed system and fed from there to the screwing systems individually. For subsequent control of the correct position of the screws , they must be detected at a specific position in the feed system in order to provide a trigger signal.

Application
Detection
Description
Determining the stacking height of housing parts

For further processing, stacked housing parts must be removed from a material container and placed in the correct position. This requires determining the current stack height in order to use it to align the robot gripper, including the cameras mounted on it, at the correct working distance for determining the position.

Application
Distance measurement
Description
Effortless Traceability: Displaying code contents, texts,

In modern manufacturing, the need for seamless component traceability (Track-and-Trace) continues to grow. Data Matrix Codes (DMCs) have emerged as one of the most reliable methods for identification and traceability. The goal is to scan the Data Matrix Code on each component, guaranteeing precise product processing and flawless serial number management.

Application
Identification
Description
Fast, Easy Code Reading in Just a Few Clicks - No Expertise Needed

Every day, countless packages are shipped around the world. To ensure each one can be tracked reliably, shipping labels must be read accurately, often containing barcodes, QR codes, or DataMatrix codes. A vision sensor is used to automatically identify and decode these labels. However, proper setup is required before the sensor can perform this task effectively, and this setup process is often the first obstacle.

Application
Identification
Description
Filling quantity monitoring of the screw supply

A large number of screws are processed during the assembly of a battery pack. Bunker feed systems are used to stock these screws. In order to avoid an interruption in production, it is important to be informed in good time that screws need to be replenished.

Application
Distance measurement
Description
Handling Door Seals in Automotive Manufacturing

In car door seal production seals of various lengths must be handled with precision. To ensure correct placement, each seal is guided along a conveyor belt. During transport, the end of the seal must be detected so the conveyor can stop at the exact position for the next step. An optical sensor is required to identify the end of the seal in continuous operation and send a signal to the conveyor belt to stop at the correct position. Once the seal is correctly positioned, it can move on to the next production step.

Application
Detection
Description
Identification by means of directly marked codes

Each component installed in a battery pack usually has a directly marked code on it. Before the components are installed in the housing bottom part, this code must be read out and transmitted to the higher-level control system for subsequent tracking.

Application
Identification
Description
Inserting battery modules into the housing bottom part

In order for the robot gripper to be able to insert the components into the lower part of the housing, contactless position detection of the housing bottom part is necessary. 

Application
Positioning
Description
Locking check of the connections

Regardless of whether the wiring is automated or manual, it is necessary to check the connector latches. Improperly latched connectors can trigger a subsequent defect and cannot be corrected due to the battery pack design.

Application
Inspection (AI)
Description
Measuring a gap between two metal sheets

During assembly, it is frequently necessary to align two metal sheets as close as possible in the joining process in order to guarantee a good weld seam. The aim of the application is to determine the gap between two metal sheets and to transfer the measured value to the control system. 

Application
Inspection (AI)
Description
Position control of car body parts

Painting is an important step in automobile production, which not only fulfills aesthetic but also functional aspects. In this step, the body of the vehicle is coated with paint. An important part of the overall process is the position control of the various body parts after drying with the help of an optical sensor. To do this, all car body components such as the bonnet, trunk lid, and doors must be closed in order to move on to the next step, the assembly.

Application
Detection
Description
Position control of the fastening clips of cable harnesses

Inside the battery pack there are wiring harnesses which need to be fixed with fastening clips. Failure to engage the clamps correctly can result in damage to the cables or rattling noises during subsequent driving operation.

Application
Inspection (AI)
Description
Position detection for automated bolting

The battery modules must be screwed into the lower part of the housing. The screw holes are usually located under mechanical devices, which in turn have an opening. The sensor is to be used to detect the position of the screw holes underneath.

Application
Positioning
Description
Position detection for removal of the upper housing part

In order to close the battery pack, the housing top must be removed from a material container using a gantry or articulated-arm robot. To do this, it is first necessary to determine the position of the component in the container without contact.

Application
Positioning
Description
Position detection of the lower housing part in the material container

The base of a battery pack is the housing bottom part, which is first removed from a material container by a gantry or articulated-arm robot. For his purpose, it is necessary to determine the position of the component without contact.

Application
Positioning
Description
Position determination for the removal of battery modules

Several components, such as battery modules, are installed in a battery pack. To remove the individual battery modules, their position in the material container must be determined without contact. 

Application
Positioning
Description
Positioning of sniffer lances for leak testing

Leak testing is one of the last production steps of a battery pack. So-called sniffer lances must be precisely guided to specific positions for the gas check.

Application
Positioning
Description
Precise handling of large components with robots and VISOR®

In the automotive industry, it is often necessary to automate the movement of large objects, such as sheet metal, for car body construction. The precise detection of the X and Y position of the component using a vision sensor is critical to ensure a precise gripping process for the robot.

Application
Positioning
Description
Presence Check of Clips on Automotive Body Parts

In automotive manufacturing, small fasteners secure components, such as attaching the door side trim to a car door. Missing fasteners can cause parts to loosen, so it’s essential to confirm that all are present and in place before assembly.

Application
Classification AI
Inspection (AI)
Description
Presence check of protective caps

The protection of external electrical connections and coolant lines requires the manual application of protective caps. Without protective caps, accidental contact with high-voltage connections or damage as well as contamination may occur, so their presence must be monitored.

Application
Inspection (AI)
Description
Presence of clips on sheet metal parts

When assembling vehicles, sheet metal parts and / or plastic parts must be connected to one another. These are often assembled with clips which the parts are screwed or plugged together.

Application
Inspection (AI)
Description
Reading DOT codes on vehicle windows

Vehicle windows must be identified during production and mounting processes to avoid mix-ups with similar windows. The aim of the application is that a window is clearly identified by means of a DOT code.

Application
Identification
Description
Reading dot-peened data matrix codes on sheet metal parts

In production, components, e.g. sheet metal parts, must be identified. During assembly processes, there is a risk of mixing up similar components. The identification of an incorrect part after installation can have costly consequences

Application
Identification
Description
Reading of lasered datamatrix codes on sheet metal parts

In production, components must be identified. There is a risk of confusion between similar components during assembly. High costs can be incurred if the wrong component is identified after installation.

Application
Identification
Description
Reading the delivery note

In order to guarantee the traceability of the components installed in a battery pack, the codes on the delivery notes attached to the transport boxes are read with a sensor. The contents can consist of one-dimensional barcodes, two-dimensional data matrix codes or plain text.

Application
Identification
Description
Reliable Pin Position Control of Electrical Connectors

Almost every electrical component has plug connections with pins. During production, these pins can be bent or incorrectly positioned due to various influences, such as mechanical stress. This can lead to damage to the component. Therefore, careful inspection of the pins for early detection of possible damage is important.

Application
Inspection (AI)
Description
Robot-assisted refueling of AGVs (with Target Mark 3D)

Utilizing robotic assistance, AGVs can be automatically refueled or recharged. The robot will dock the charging system or fuel port to the AGV, streamlining the process.

Application
Positioning
Description
Robotic assembly on AGVs (with Target Mark 3D)

A robot is tasked with performing various processing steps on a battery pack, which is transported into the processing cell by an AGV

Application
Positioning
Description
Setting down the housing top for final assembly

After determining the position of the housing top in the material carrier, the component is placed on the housing bottom part.

Application
Positioning
Description
VISOR® Makes Component Positions Visible

A robot is tasked with picking components from a flexible feeding platform. The position of the objects may vary. A vision sensor can identify and relay the exact position of the part to the robot.

Application
Positioning
Description
VISOR® Robotic +Z: 2D vision-guided robotics with integrated distance measurement

2D vision-guided robotics with integrated distance measurement for removing body parts from load carriers.

Application
Distance measurement
Positioning
Description
Visualisation of entire process with SensoWeb

Throughout the production process, a large quantity of data is generated that has to be monitored and checked. The operator must be able to consult, manage and evaluate this data easily in order to identify and implement any necessary modifications to the process.

Application
Classification AI
Identification
Inspection (AI)
Positioning

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Application Consulting

The key to successful automation is proper planning. Let our experts help you optimize your application from the start.

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