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Sensors for future-proof manufacturing
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.
SensoPart’s vision sensors for industrial image processing deliver measurable advantages:
Ease of Use: AI-powered tools simplify setup and operation
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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.
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.
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.
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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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.
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.
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.
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.
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.
The following application examples demonstrate the practical uses of our products.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
A robot is tasked with performing various processing steps on a battery pack, which is transported into the processing cell by an AGV
After determining the position of the housing top in the material carrier, the component is placed on the housing bottom part.
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.
2D vision-guided robotics with integrated distance measurement for removing body parts from load carriers.
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.
Discover smart vision solutions designed for every stage of e-mobility and battery production; fully integrable for maximum efficiency.
Our VISOR® Robotic vision sensor empowers collaborative robot systems (cobots) to tackle a wide range of tasks with precision and ease; perfect for flexible, modern automation.
The key to successful automation is proper planning. Let our experts help you optimize your application from the start.
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