SAFETY Ӏ VISION TECHNOLOGY


MCDE3000 model. While the core performance specifications remain unchanged the digital camera offers a 115° horizontal field of view and transmits Full HD video at 30 frames per second via an IEEE 802.3 (LAN) interface. Designed for extreme


on-demand event video playback. The system can be retrofitted


to existing vehicles – with no wearables or tags required. By linking AiVA’s stereoscopic vision and real-time detection capabilities with centralised, cloud-based analytics, Speedshield says Optix closes the loop between detection, documentation, and decision- making, transforming safety from a reactive process into a predictive data-driven discipline. “We’ve known for some time


that industrial safety doesn’t stop at detection,” Kulhar adds. “With Optix, we’re helping customers move from awareness to understanding. We want to empower both teams on the ground and those in the office to make smarter decisions, reduce false alarms, and ultimately prevent the kinds of critical events that cost lives and livelihoods.” Another driver assistance


systems specialist integrating artificial intelligence with camera safety systems is Hadamar, Germany-based Motec. It has launched the MCDE3000A-AI smart camera which can perform person and object detection tasks without the need for any additional control units.


The MCDE3000A-AI is equipped with a powerful processor that enables AI algorithms to run directly on the camera. This eliminates the need for external video controllers and complex wiring. The cameras connect to compatible displays and are ready for use after calibration. The MCDE3000A-AI is an


evolution of Motec’s established 42 CRANES TODAY Motec’s MCDE3000A-AI


environments, the MCDE3000A-AI operates in temperatures ranging from -40 to +85°C and meets IP69K protection standards. New features include an integrated i.MX 8M Plus – Arm Cortex-A53 processor, as well as an upcoming variant with Single Pair Ethernet (BroadR-Reach) and optional infrared and white light illumination. Thanks to its built-in intelligence the camera can handle complex detection tasks independently without the need for additional video control units or smart displays. The processor is powerful enough to run Motec’s proprietary machine learning algorithms for person and object detection. Customers with the necessary expertise can also deploy their own software and algorithms on the camera. A key advantage of the digital MCDE3000A-AI system, for OEMs and machine operators, is its updatability which ensures long-term viability. “Like all digital components, our new smart cameras can receive software updates,” explains Dr. Stefan Wirtz, director of R&D at Motec. “This is especially important for AI functionalities based on trained neural networks, as is the case with the MCDE3000A-AI. The system is constantly evolving.” Motec says it has been


working for over a decade on implementing AI algorithms across its in-house developed and manufactured cameras, control units, and displays. The training data includes


both real-world images - such as construction site scenarios -and abstract, chaotic, computer- generated visuals. This approach, it says, ensures the system is highly flexible, consistent, and robust in recognising relevant visual content.


Use cases range from


360-degree surround view monitoring of large machines,


like crawler cranes using multiple smart cameras, to single-camera systems for compact equipment, such as forklifts. The MCDE3000A-AI can also be seamlessly integrated with other Motec components featuring AI support, such as the newly developed Smart Display MDDE3084 or the MVCD2000 Video Control Unit, enabling even more powerful ADAS solutions. Ultimately what emerges


from these examples is a clear direction of travel for the lifting and specialised transport sectors: vision is no longer a passive capability but an active, intelligent, safety layer. From hook-mounted cameras improving line-of-sight to high-definition, multi-view monitoring systems, to AI-enabled detection and predictive analytics platforms, camera technology is rapidly evolving from a helpful add-on into a central pillar of site safety and operational efficiency. A common thread across many of these developments is the move from reaction to anticipation. Where once cameras merely showed operators what was happening, today’s systems interpret, analyse, and increasingly predict risk in real time. Whether identifying blind spots, detecting vulnerable road users, or flagging hazardous patterns before they escalate, the technology is shifting decision-making from instinct and experience to data- backed certainty. Just as importantly, many of these innovations are being designed with practicality in mind - retrofit solutions, minimal downtime, and compatibility with existing fleets - helping to remove traditional barriers to adoption. This ensures that safety gains are not limited to new equipment, but can be extended across entire operations. For an industry where visibility has long been one of the greatest challenges, the message is straightforward: seeing better means working safer. As camera systems become smarter, more connected, and more accessible, they are not only helping to reduce accidents, they are reshaping how risks are understood, managed, and ultimately prevented.


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53