Banner Engineering
"Smarter Automation. Better Solutions."
Global industrial automation maker of sensors, machine vision, machine safety, lighting/indicators and IIoT wireless, with 10,000+ products since 1966.
Banner Engineering is a global leader in industrial automation, designing and manufacturing products that solve manufacturing and process challenges across factories, logistics, packaging and material handling. Founded by Bob Fayfield in 1966 and headquartered in Minneapolis, Minnesota, Banner began as a small problem-solving engineering firm and has grown into a globally recognized automation supplier with more than 10,000 products, operations on five continents, and a worldwide team of more than 5,500 employees and partners. The company's broad portfolio includes photoelectric, ultrasonic, inductive and measurement sensors; machine vision systems including iVu Series vision sensors and VE Series smart cameras with Vision Manager software; machine safety products such as safety light curtains, safety controllers and emergency-stop devices; LED lighting, tower lights, indicators and pick-to-light devices; and smart industrial IIoT and wireless technologies for condition monitoring and data collection. Banner products address applications such as item detection, part positioning, flaw analysis, quality assurance, traceability, error proofing and machine safeguarding.
The company emphasizes ease of use, with products like its touchscreen vision sensors configurable without a PC and rated for harsh environments. Banner cites that one of its products is installed somewhere in the world roughly every two seconds. Operating through a worldwide network of distributors and a strong distributor-partner model, Banner Engineering supports industrial customers with sensing, vision, safety, lighting and connectivity solutions designed to improve productivity, quality and worker safety.
Primary type & automation activities this supplier delivers:
VE Series Smart Cameras
Industrial smart cameras for detection, part positioning, flaw analysis, quality assurance and traceability.
iVu Series Vision Sensor
Standalone vision sensor monitoring part type, size, orientation and color with no PC required.
EZ-SCREEN LS Safety Light Curtain
Safety light curtain for guarding personnel access to hazardous machine areas.
Contact Banner Engineering
WEBSITE
https://www.bannerengineering.com/PHONE
+1 763 544 3164HEADQUARTERS
United States
Company Facts
Founded
1966
Primary Role
Component Supplier
Company Size
-
Primary Region
North America
Annual Sales
-
Funding Stage
-
Funding Total
-
Certifications & Memberships
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New 'SANDO' System Keeps UAVs Safe from Collisions in Wildfire Areas
The 'SANDO' system enhances the safety of uncrewed aerial vehicles (UAVs) by ensuring their flight paths remain collision-free, particularly in hazardous environments like wildfires. This technology is crucial as UAVs are often deployed to gather vital information in such dangerous situations, where they face risks from sudden flare-ups and falling debris. The importance of the 'SANDO' system lies in its ability to protect UAVs from potential damage during operations in uncharted territories. By avoiding collisions with obstacles such as tree branches, the system allows for safer data collection, which is essential for rescuers responding to wildfires. This advancement could significantly improve the effectiveness of UAVs in emergency response scenarios. Looking ahead, the implementation of the 'SANDO' system could lead to broader applications of UAVs in various challenging environments. As the technology develops, stakeholders will be keen to observe its impact on UAV operational safety and efficiency in disaster response efforts. No further timeline was disclosed at the time of publication.
Robotics
MIT Develops SANDO: A Collision-Free Navigation System for UAVs in Unknown Environments
MIT researchers have developed an autonomous navigation system named SANDO, designed for uncrewed aerial vehicles (UAVs) to navigate safely in unpredictable environments. This system ensures that UAVs can avoid collisions with unknown moving obstacles, which is crucial in high-risk scenarios like search and rescue missions or disaster response. The significance of SANDO lies in its ability to provide formal safety guarantees in dynamic environments, where traditional navigation systems fall short. Unlike existing planners that only work in static settings or lack formal guarantees, SANDO uses a mathematical approach to ensure collision avoidance, making it particularly valuable for applications requiring real-time adaptability. Looking ahead, the potential applications for SANDO are vast, including emergency medical supply deliveries and exploration in hazardous areas. As the technology matures, it could revolutionize how UAVs operate in complex environments, enhancing safety and efficiency. No further timeline was disclosed at the time of publication.
Research Computer science and technology Algorithms Drones Robotics Autonomous vehicles
TwelveLabs Launches Pegasus 1.6 for Enhanced Video Understanding in Physical AI
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Artificial Intelligence Artificial Intelligence / Cognition Assembly Human Robot Interaction / Haptics Manufacturing Microprocessors / SoC
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AI Applications C-UAS Defense defense Drone News
Overview AI Introduces OV Spark and OV Spark Pro AI Inspection Cameras
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Artificial Intelligence Artificial Intelligence / Cognition Cameras / Imaging / Vision Design / Development Manufacturing News
Epson Showcases Color Labeling and Robotic Automation at PACK EXPO 2026
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OpenAI's GPT-6 Astra Dominates SuperCLUE's Robot-Brain Benchmark with Planning Superiority
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OpenAI China
Podcast Discusses Smarter Predictive Asset Management and Its Operational Benefits
In a recent episode of Automation World Gets Your Questions Answered, Chris McNamara interviews Steve Kaminski from Banner Engineering. Kaminski discusses how condition monitoring transforms machine data into actionable insights, enabling manufacturers to maintain efficiency and prevent failures. He emphasizes starting with critical equipment like compressors and pumps for optimal results. This conversation is significant as it underscores the importance of condition monitoring in enhancing operational efficiency. By utilizing Banner’s Snap Signal ecosystem, manufacturers can integrate various sensors into a cohesive data network, which aids in early detection of mechanical issues and optimizes maintenance schedules. This proactive approach can lead to reduced downtime and lower operational costs. Looking forward, Kaminski anticipates advancements in user-friendly systems that will facilitate both basic monitoring and automated maintenance workflows. No further timeline was disclosed at the time of publication.
Sponsored
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BANNER ENGINEERING - Available now at Mouser: vibration monitoring sensors
Banner Engineering has introduced its Q45x sensors, designed to enhance predictive maintenance for industrial equipment by providing high-resolution, three-axis vibration data. These innovative sensors, which are battery-powered and capable of operating for several years without the need for wiring, facilitate easy installation and scalability across various assets. The Q45x sensors utilize integrated high-frequency enveloping (HFE) technology to detect early-stage faults, such as bearing wear and lubrication issues, thereby improving diagnostic accuracy even in noisy environments. With IP67-rated enclosures and wireless connectivity through Sure Cross networks, these sensors ensure reliable condition monitoring in challenging industrial settings while minimizing downtime and simplifying maintenance processes.
BANNER ENGINEERING - RSio Remote Safe I/O Blocks
Banner Engineering has introduced a new line of I/O blocks designed to enhance safety architectures in industrial settings. These innovative blocks support EtherNet/IP and CIP Safety™, allowing for configurable inputs for emergency stops, light curtains, and switches. The introduction of in-series diagnostics significantly reduces cable usage, enabling the connection of up to 192 safety devices per block while providing device-level status updates. The RSio series is characterized by its scalability and robustness, making it particularly suitable for large conveyor networks and modular machine designs. This development aims to streamline safety management and improve operational efficiency in manufacturing environments.
