Innovations in Automation: Highlights from the 2025 Fizyr Conference
The second annual Fizyr Automation & Robotics Conference took place on October 23, 2025, at Fizyr's headquarters in Delft, Netherlands. This event is pivotal for anyone interested in the advancements in robotic automation and vision technology. With an emphasis on real-world applications, the conference showcased a variety of innovative solutions that have been successfully deployed across different sectors such as logistics, food processing, and product detection, underscoring Fizyr’s position as a leader in vision AI development.
A Gathering of Innovators and Experts
Attendees of the conference were treated to insights from experts in the robotics and automation field. Ken Fleming, the CEO of Fizyr, highlighted the significance of this annual gathering as an opportunity to share breakthroughs in technology. “Following the success of our first conference, we were motivated to establish this event as a staple in the industry’s calendar,” he stated, emphasizing the need to share the incredible innovations that are shaping the future of robotic automation.
Engaging Live Demonstrations
One of the key elements of the conference was a series of live demonstrations that illustrated the practical application of Fizyr’s advanced vision AI technology. These demonstrations provided attendees with a close look at how the technology operates in various scenarios.
The following innovations were showcased:
1. Camera Experience: A detailed exploration of the integration, testing, and validation processes for the industrial cameras used in automation. This segment demonstrated how to optimally configure different cameras to best suit specific job requirements.
2. Gripper Experience: Attendees learned about the various end effectors with which Fizyr systems can integrate. This session explained how the technology determines the optimal methods for grasping objects, taking into account factors such as object variability and grip effectiveness.
3. Innovation Experience: Demonstrating the world's fastest bin-picking solution, this segment integrated Cognibotics' HKM1800 with Fizyr’s vision for swift and precise object manipulation, highlighting how the system allows for adaptive approaches in picking and placing tasks.
4. Food Automation: A fascinating live feed of a fully functional automated cell that revealed how two coordinated Yaskawa robotic arms worked together to assemble consumer salad kits, demonstrating real operations in food processing.
5. Spotlight on Lighting: A unique demonstration showcasing how lighting impacts vision setup and configuration, providing insights into how Fizyr’s AI adjusts to dynamic industrial conditions.
6. Partner Experience: This included a sophisticated parcel singulation demonstration in collaboration with Dero Groep and Yaskawa, which displayed the efficiency of Fizyr's AI in managing high-volume package processing.
7. How to Train Your Network: A discussion on the intricacies of vision data processing, including the training methods utilized by Fizyr to ensure efficient image recognition and understanding for automation purposes.
Networking and Learning Opportunities
Aside from the impressive demonstrations, the conference also served as a platform for networking among industry professionals. With many integrators and robotic solution providers present, attendees had the chance to connect and discuss collaboration opportunities that would further advance the field.
Conclusion
The 2025 Fizyr Automation & Robotics Conference successfully highlighted the pivotal role that vision AI plays in transforming automation processes across multiple industries. With advancements in robotic capabilities, the conference not only showcased Fizyr’s innovation but also emphasized the collaborative efforts within the industry to push the boundaries of what is possible. As the event wrapped up, attendees left with a clearer understanding of how these technologies can be implemented in their operations, fostering growth and efficiency in their respective fields.