It might surprise you to learn that we, humans, and machines, learn in much the same way.
When we “size up a person, product, or situation” or “eyeball” a distance or measurement, our brain makes lightning quick calculations and guesses. From this, we’re able to reason and making relational assessments of separate items bound together by their similarities. These tasks, we accomplish as early as about 18-months old. This is what we’re working on getting computers to do as well, though we’re not quite there, yet. And just as children learn block by block and bit by bit, so too can we teach AI.
Computer Vision, when it comes to the industry of robotics, offers one of the most challenging aspects of the latest technological advancements.
Keeping Up Appearances
Humans take in, process, acknowledge, and understand information in order to act, but the replication of this human software has been challenging. One way in which companies are meeting this challenge is combine Computer Vision hardware with software algorithms and Deep Learning to help teach computers to better “see” objects and identify them accurately.
But like the inner-workings of the human mind, Machine Vision and Deep Learning touch on several areas such as actual and predicted Computer Vision reporting, the three-pronged recipe of a Computer Vision system, and a product development ecosystem which gets to the root of the technology.
According to one report, Computer Vision in robotics is expected to grow significantly over a 7-year period. Some of the markets expected to see growth and making major investments include semiconductor manufacturers, software companies, and product developers.
The Building Blocks
The Deep Learning Engineer is to Computer Vision what the Data Engineer is to Data Science. In both regards, these professionals must begin with a solid foundation and build from there. In order to achieve 100% accuracy, hardware and software improvements must get underway and are tantamount to a fully developed ecosystem of Computer Vision product development. Acceleration of this rapidly evolving industry is due to a number of factors:
- Wide availability of wireless networks to millions of people worldwide.
- Deep Learning advances.
- More cost-effective chipsets.
- Images that can be processed, analyzed, and transmitted more easily with availability of high bandwidth.
- Open source libraries help to build differentiated products without reinventing the wheel every time when it comes to infrastructure.
On the flipside, there are some barriers to overcome as well. These include, but are not limited to:
- Cost issues due to the fact that most advances take place in university research labs or big companies.
- A skills shortage of hardware engineers with Computer Vision and Deep Learning experience.
- A lack of recognized applications for these products, though the closest attempt may be self-driving cars.
Though these considerations may seem unsurmountable in the short-term, they do provide plenty of opportunity for those in design automation. From the initial analysis to servers in the cloud, and high-level solutions to help computers make informed decisions.
So, what happens when we teach computers to think as we do? Will there be a battle for domination of one species over another? Probably not. But one of the biggest challenges to get to the next level in automated machine learning is understanding how much our thinking process involves predictions. This is important in fields which must coordinate information based on exterior data.
This type of learning has impacted a variety of fields from online shopping to medical diagnosis. The massive amount of data available for consumption is staggering. Not only are Deep Learning and Machine Learning products of corporate and scientific solutions, they are also being put in the palm of our hand; our homes, our cars, and our handheld devices in order to help us more efficiently complete jobs which might be too slow going or for which mistakes are prone.
If you’re interested in industrial robotics and the AI space, we may have a role for you. We specialize in junior and senior roles and have numerous opportunities in Computer Vision. Take a look at our current vacancies
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