Vision-Guided Vehicles Improve Efficiency and Productivity
NOVEMBER 14, 2017
The use of vision-guided vehicles continues to rise. Many manufacturing companies gravitating towards the use of this technology to improve efficiency and productivity. However, the problem that these companies often encounter is manually adjusting algorithms to adapt to changing environments or operations. But what if there were smarter vision-guided vehicles that learn and adjust on their own?
Human interaction will always drive logical decision-making, but it can also drive costs prove unpredictable. Manufacturing and e-commerce environments especially need a human touch. Therefore, technology that allows vision-guided vehicles to and adapt to manufacturing scenarios in real-time is crucial.
Take for example, Seegrid’s Series 6 self-driving pallet truck for materials handling. The technology sees the world just like humans do. As such, it captures and builds a 360-degree map of the environment around them.
The truck provides fully-automated material movement, while executing hands-free load exchange from pick up to drop off. Additionally, it not only closes the automation loop by providing an end-to-end solution, but also removes the need for human assistance to complete tasks. Operating without wires, lasers, magnets or tape, the truck is allowing manufacturers and distributors to change routes in-house.
As a result, it allows manufacturing companies to optimize workflow processes and cut operational costs with consistent and efficient delivery of goods.
And to keep these vehicles running without incident, Seegrid recently partnered with Bell and Howell to provide technical service and support in North America. Bell and Howell’s service organization is among the most sophisticated in the world. With more than 600 full-time field service personnel across the U.S., it excels at robotics, production workflow, automation and industrial mechatronics.
