February 2024

Together with seven member companies and for the first time, the EMVA will be present at this year’s LogiMAT from March 19th – 21st, 2024 at Messe Stuttgart.

In hall 2, booth no. 2C18 the co-exhibiting EMVA members Advantech, Fraunhofer IFF, Murrelektronik, Phil-vision, Roboception, Vecow und Vision Components will be showcasing applied image processing solutions for a wide range of requirements in logistics.

Furthermore, an expert forum titled Machine Vision – Key for Logistics 4.0 will take place on Tuesday, March 19th from 3:00 p.m. to 3:50 p.m., which will be moderated by EMVA board member Dr. Ronald Müller. During the forum, several machine vision company representatives will highlight various approaches to more automation, speed and safety in logistics thanks to modern camera systems.

PSIORI was founded by and around former students and employees of the research groups of Prof. Dr. Wolfram Burgard (Autonomous Intelligent Systems) and Prof. Dr. Martin Riedmiller (Machine Learning) at the Faculty of Engineering in Freiburg.
In our research, we have dealt with the topics of autonomous driving, mobile robotics, machine learning, neural networks and reinforcement learning as well as in the application with problems from the areas of sensor processing, self-localization and mapping and with robot, vehicle and machine control. Read more ›

ECS stands for Eco Compact Sensor and is the latest innovation in the field of 3D sensor technology in terms of performance and cost-effectiveness. Its particular benefit: its cost efficiency. Thanks to the use of less expensive optics and sensors, as well as the support of class 2M lasers with a wavelength of 660 nm, the products in the ECS series are available at a surprisingly low price without compromising on reliable performance.
Designed as a standardized version, the ECS sensors are ideal for applications in the food and logistics industries as well as robot vision, where high-performance technology is oftentimes not required. Read more ›

Teledyne DALSA is pleased to announce its latest Sapera™ Vision Software Edition is available. This release includes enhanced versions of its AI training graphical tool Astrocyte™ 1.50, and its image processing and AI libraries Sapera Processing 9.50.

Teledyne DALSA’s Sapera Vision Software provides field-proven image acquisition, control, image processing, and artificial intelligence functions to design, develop and deploy high-performance machine vision applications such as surface inspection on metal plates, location and identification of hardware parts, plastic sorting, and PCB inspection.

Datasensing is pleased to announce the introduction of the MX-G2000, an industrial vision processor with PEKAT VISION deep learning that enables advanced machine vision applications for factory automation.

The MX-G2000 integrates the 12th generation INTEL chipset and NVIDIA RTX GPU providing the highest computing power to run both PEKAT VISION deep learning and IMPACT rule-based algorithms. Every single component of the MX-G2000 has been selected and tested by Datasensing with care. The result is a proven industrial-grade deep learning solution right out of the box that protect customer long-term investment. Read more ›

Dragonfly S is a first of its kind, practical option for industries ranging from life science instrumentation to factory automation.
The modular, compact, and lightweight design accelerates the inception stage of imaging application development for at-scale manufacturing, volume-based applications, and multi-camera systems. Paired with sensor options from Sony, onsemi and Teledyne e2v, Dragonfly S is ideal for embedded or handheld device applications such as biometrics kiosk solutions, ophthalmoscopy, 3D scanning, automated optical inspection, and more. Read more ›

When engineers at NASA’s Marshall Space Flight Center started their search for cameras to use in the Artemis I mission, performance in challenging environmental conditions was top of mind. The cameras would operate near the heat and vibration of a rocket engine during launch, and then continue imaging in the extreme cold and harsh radiation of space. Florida-based Imperx is well known for high-reliability, ruggedized cameras, so it was not a surprise that Imperx’s Cheetah camera came out on top during NASA’s initial testing.
Imperx’s SPC-S2010 camera was designed in collaboration with NASA to withstand the harsh environments of the launch pad and space
The collaboration that ensued resulted in a new camera model, the SPC-S2010. Read more ›

In industrial image processing, the requirements for precision, speed and flexibility are increasing rapidly; to keep up with the demand there’s a need for a more advanced solution: Murrelektronik’s new Xelity Hybrid PN switch. In a robust IP67 housing, it’s able to transmit data at speeds up to 1 Gbit/s between different network devices while providing them with sufficient power. 6 times Gigabit Ethernet and 4 times NEC Class 2 power ports, the user can connect up to four devices such as cameras, light sources or barcode readers together in a decentralized installation. If it’s needed to add more devices to the network, daisy-chaining multiple switches won’t compromise the data transfer performance. Read more ›

NRU-52S series is a rugged, wide temperature, fanless edge AI computer delivering up to 100 TOPS for AI-based video analytics applications requiring H.264/H.265 video decoding and real-time inference. Power by an NVIDIA® Jetson Orin™ NX/ Xavier™ NX system on module (SoM), it comprises of NVIDIA® Ampere GPUs (Orin NX), CUDA cores, Tensor cores, and NVDLA (NVIDIA® Deep Learning Accelerator).
Benefiting from the power-efficiency of NVIDIA® Jetson Orin™ NX, which consumes only 25W of power, NRU-52S+ can decode up to 18 streams of 1080p video at 30 FPS, and also offer 100 TOPS inference performance. Read more ›

The Imaging Source has evolved alongside advancements in image processing technology for over thirty years, developing increasingly sophisticated software for a diverse range of machine vision systems and integrators. This progression introduced complexities, necessitating a revamped software approach to ensure broader platform compatibility and comprehensive camera feature access. The introduction of IC Imaging Control 4 (IC4) marks The Imaging Source’s strategic shift to a unified software environment, optimizing cross-platform integration for industrial cameras using the GenICam GenTL standard. Read more ›

Machine learning is the next big thing in industrial machine vision. Eigen Innovations, a Canada-based company, has been developing machine vision solutions for manufacturers for a decade. Over the years, Eigen created advanced software tools to make machine learning models easier to train, deploy and scale across multiple machines and factories. The company also developed powerful analytics software that aggregates machine vision data with other process-related data to identify the root cause of defects and anticipate them rather than just detecting them. Read more ›