Computer Vision could be the future of tech

Beyond artificial intelligence (AI) and machine learning (ML), there is the development of new capabilities using Computer Vision.

New machines with human-like perception with the cognitive ability to identify and interact with objects could have an important impact on people’s life. Moreover, getting this device to understand the context of its surroundings is another great advancement that bears a lot of potentials – including identifying poorly-made products on an assembly line to identifying pedestrian travel patterns and the routes they take every day as well as detecting a malignant tumor inside the human body.

Computer vision can also explore the value in applications such as objects and facial recognition, motion tracking, quality control and inspection for manufacturing processes, and audience analysis. Combined with AI software and cloud-based computing nets, this could make computer vision systems identify objects in the same way as humans. This is still an important challenge – as our vision has more than 120 million light detecting receptors and hundreds of millions of neurons – but could determine the future of tech.

A Canadian tech firm Immervision has released recently computer vision tools, including a software development kit and a humanoid robot, JOYCE. The company wants to support computer vision technology development and hence, also released the JOYCE Development Kit for engineer and AI developers which contains three ultra-wide-angle panomorph cameras calibrated in order to give 2D, 3D stereoscopic, or full 360 x 360 spherical capture and viewing of the environment. By using Data-In-Picture technology, each frame collects data from a large specter of sensors, which in turn provides contextual information helping increase its visual perception.

The advancements Computer Vision could make really set the field apart by enhancing the performance of smart home devices as well as improving our ability to detect people and objects in an emergency and making better medical diagnostics.

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