LMI Technologies’ Gocator Smart 2D and 3D Imaging Is Reshaping Automotive Inspection

The demand for smarter, more integrated vision inspection solutions is increasing, driven by electrification, higher quality expectations and faster production speeds. For LMI Technologies, the launch of its first Gocator 2D Smart Camera marks a strategic step towards delivering a fully unified vision ecosystem.

Combining high-speed imaging of up to 84 FPS with integrated lighting control, on-device deep learning AI and Edge capability, and LMI’s on-device GoPXL software, the Gocator 2D Smart Camera delivers significant benefits in terms of efficiency, accuracy, and return on investment.

“LMI Technologies has built its world class reputation as the experts in 3D scanning, but with the launch of our 2D product we are completing the picture,” says Benderoth. “Companies are transforming from relying on horizontal components to complete solutions and LMI has always been about delivering those solutions.”

From components to complete solutions

This shift reflects a broader transformation across automotive manufacturing. OEMs and suppliers are moving away from 

fragmented systems towards integrated platforms that reduce complexity and improve scalability. In this context, LMI’s Gocator products now cover both 2D and 3D sensing, simplifying deployment while enhancing performance.

At the core of this approach is GoPxL, LMI’s embedded software environment, which unifies data from multiple sensors into a single interface. Rather than requiring engineers to manage separate tools and workflows, the platform enables a consistent, streamlined experience across applications.

At the core of this approach is GoPxL, LMI’s embedded software environment, which unifies data from multiple sensors into a single interface. Rather than requiring engineers to manage separate tools and workflows, the platform enables a consistent, streamlined experience across applications.

“The advantage is not just technical, it’s operational,” Benderoth notes. “There is a significant advantage for engineers to save time because you don’t need any third-party software which can cause headaches,” he says. “It’s all in one and by using our ecosystem they can save up to 50% of their time.”

Efficiency gains from day one

With factory floor space and engineering resources under pressure, speed of deployment is a key differentiator. LMI’s smart architecture places processing power directly on the sensor, eliminating the need for external PCs and reducing the system footprint.

The result is a faster path from installation to operation. Users can configure inspection workflows through a graphical, drag-and-drop interface, and even simulate setups offline before hardware is deployed. Customers can go from unboxing to a functioning system in hours, not weeks, delivering the kind of agility that is increasingly important in modern production environments.

Beyond initial setup, the unified platform can deliver substantial time savings over the lifecycle of a project. By removing the need for multiple software environments and simplifying maintenance, manufacturers can focus resources on optimisation rather than integration.

Reducing cost without compromise

Benderoth notes the importance of cost control, particularly as manufacturers invest heavily in new technologies such as battery production. LMI’s approach addresses this not only through efficiency gains but also through a transparent pricing model.

“Return on investment is a big advantage of our ecosystem,” he says. “We have no additional licence fees so you know when you start a project what the actual costs will be. We do have some premium options, such as our AI tools, but even then, you pay a one-time licence fee that gives you full access to the software with no hidden costs in the future.” 

The elimination of external PCs further contributes to cost reduction, while also improving system reliability. Fewer components mean fewer points of failure, an important consideration in high-volume, high-speed production lines.

Meeting the demands of electrification

These requirements are more evident in battery manufacturing, where precision, traceability, and uptime are essential. High-speed lines in gigafactories require inspection systems capable of operating continuously while maintaining strict quality standards.

By combining Gocator 2D Smart Cameras and 3D Smart Sensors, manufacturers can address a wider range of inspection tasks within a single platform. For example, 2D imaging can be used to read OCR or data matrix codes, while 3D sensors detect structural defects or inconsistencies. In areas like welding and glue beading, where typically there are both 2D and 3D elements, all the data can be brought into GoPxL so it can be processed in real-time in order to make pass or fail decisions. “Bringing these capabilities together opens up new possibilities,” notes Benderoth. “You can simultaneously verify identification data and inspect physical quality, all within the same workflow.”

The integration of AI further enhances this capability, particularly in applications involving battery cells. By combining mathematical and rule-based algorithms with AI, systems can identify subtle defects while maintaining high throughput.

High performance at the edge

A key enabler of this performance is embedded processing power with NVIDIA on-system modules. By integrating GPU capability directly into the sensor platform, LMI enables real-time decision-making without the latency associated with external systems.

“NVIDIA is embedded in our 2D platform, guaranteeing the highest performance with the lowest latency, which is really important when you’re doing all the inline work on a high-speed line,” explains Benderoth. “Unlike AI running off a PC, we require sub-10 microseconds latency with zero network delay or jitter and our device processing guarantees that superior response time. Processing data directly on the device ensures consistent performance, with no network delays or variability.” This Edge-based approach also aligns with growing concerns around data security and system resilience.

Addressing cybersecurity and data control

As manufacturing systems become more connected, cybersecurity is an increasing priority. Traditional PC-based vision systems can introduce vulnerabilities, particularly when running general-purpose operating systems.

By contrast, LMI’s self-contained sensors and cameras reduce the risk by minimising external dependencies, a major consideration for OEMs, especially when dealing with sensitive production data. Each device operates independently with its own IP address, with secure remote access available for monitoring and support.

At the same time, the platform retains flexibility, allowing integration with existing production management systems and cloud-based solutions where appropriate. For customers hesitant to fully adopt Cloud infrastructure, Edge processing provides a practical alternative.

Towards a smarter future

Ultimately, the introduction of 2D imaging is part of a broader vision, one that delivers complete, scalable inspection solutions tailored to the needs of modern manufacturing.

“Customers don’t want to do their own development or start applying software, they want components that are part of a portfolio that addresses their needs,” concludes Benderoth. “They want a single, integrated platform that requires minimal preparation and installation and delivers maximum efficiency, accuracy and uptime now and for years to come.”

As automotive production continues to evolve, such integration may prove essential, not just for improving inspection, but for enabling the next generation of smart, connected factories.