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Detecting More than Fill Levels in Farmers’ Bins with Machine Vision

How INO and BinSentry are revolutionizing the animal feed supply chain industry with 3D sensors. 

INO Case Study BinSentry

It is critical for livestock farmers to keep track of how much feed is in their bins to ensure a steady inventory to avoid feed outages and overfills.

In order to develop a solution to determine feed bin levels as accurately as possible, BinSentry sought out INO’s extensive expertise in vision systems.

INO has been very professional throughout the entire process. There were times when we weren’t sure what we wanted to do, but INO was always patient with us. At one point we changed course quite substantially which changed how INO was involved but INO continued to offer the same high-quality advice and service.

- Nathan Hoel, Chief Technology Officer and Co-founder BinSentry

What you’ll learn 

To develop a solution to determine feed bin levels as accurately as possible, BinSentry sought out INO’s extensive expertise in vision systems.  

Discover how INO and BinSentry worked on the development of a machine vision 3D monitoring sensor to map the complete interior of a farmers’ feed bin. By reading this case study you will learn more about: 

  • Transformative 3D Sensor Technology: Together, INO and BinSentry worked on the development of a machine vision 3D monitoring sensor to map the complete interior of a farmers’ feed bin. 
  • Revolutionizing the Feed Logistics Industry: How using the 3D monitoring sensor, farmers and feed mills can view the entire bin interior from any angle to see the exact feed level and feed flow.  

INO Case Study BinSentry EN

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