Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups in Industry 4.0. As there is a large number of startups working on a wide variety of solutions, we decided to share our insights with you. This time, we are taking a look at 4 promising object recognition solutions.
Heat Map: 4 Top Object Recognition Startups
For our 4 top picks, we used a data-driven startup scouting approach to identify the most relevant solutions globally. The Global Startup Heat Map below highlights 4 interesting examples out of 552 relevant solutions. Depending on your specific needs, your top picks might look entirely different.
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Landing.ai – Quality Management
Ensuring the quality of finished goods is an incredibly important component for any manufacturing operation. With complex object recognition technologies powered by advanced artificial intelligence (AI) and potent camera equipment, businesses can facilitate rapid, reliable, and almost fully automated quality checks of their production processes. US-based Landing.ai uses artificial intelligence and machine learning algorithms with advanced object recognition capabilities to gradually teach the system to use cameras in a bid to consistently detect any defects on the end product.
Fellow Robots – Inventory Management
Effective inventory management is difficult to set up and maintain, especially if you want to know exactly how your inventory changes over time and be aware of its state at any moment. Object recognition technologies are a powerful tool to do just that, by giving manufacturers the ability to scan and track every item of their inventory that is added or subtracted. The US company Fellow Robots takes advantage of machine learning algorithms and computer vision to help companies enhance and automate their inventory management, enabling near real-time control of inventory.
Emberion – Sorting
Sorting has traditionally required intensive labor costs and almost always includes the possibility of a human error factor. Machine vision (MV), however, eliminates this factor and allows to automate the process of product sorting, which is especially relevant for agriculture and waste management sectors. Emberion, a spin-off from Nokia’s research and development unit, employs visual object detection to offer plastic sorting as well as goods sorting for waste management and agricultural industries respectively.
Argutec – Assembly Line
As manufacturers put more and more advanced and value-adding solutions to mass production, their assembly lines become incredibly complex. This is true for many high-tech industries, including aerospace and automotive. Until recently, the assembly process, despite being automated, actually relied on various scripts and scenarios pre-programmed into the machines. AI-powered computer vision makes the assembly lines more flexible, allowing the machines to make decisions based on objects that it detects at all stages of the assembly. Czechia-based Argutec develops machine vision solutions that use, among others, object tracking technology to enhance the assembly process and automate production even further. In automotive, for instance, it can determine what part of a car is at what particular stage, whether it has all of the components to be transferred to the next assembly step and so on.
What About The Other 548 Object Recognition Solutions?
While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence for your Proof of Concept (PoC), partnership, or investment targets. The 4 object recognition startups showcased above are promising examples out of 552 we analyzed for this article. To identify the most relevant solutions based on your specific criteria and collaboration strategy, get in touch.
