What is computer vision and machine perception?

Computer vision and machine perception are technologies that enable computers and robots to "see" and understand visual information from the world around them. Using cameras, sensors, and AI algorithms, machines can interpret images and video to recognize objects, people, and environments. This is essential for applications like autonomous vehicles that need to identify pedestrians and traffic signals, robots that navigate warehouses, and security systems that detect potential threats.

What is Intel's RealSense and why does its spin-off matter?

Intel RealSense is a technology that combines specialized 3D cameras with AI software to help machines perceive depth and understand their surroundings. The spin-off of this division, backed by $50 million in funding, signals strong market confidence in the future of machine perception. This move validates the commercial potential of this technology and suggests we're entering a phase of accelerated growth and investment in this sector.

What are LiDAR sensors and why are they important?

LiDAR (Light Detection and Ranging) sensors use laser pulses to measure distances and create precise 3D maps of surroundings. They're critical for autonomous vehicles, robotics, and many other applications requiring accurate environmental awareness. Companies like Luminar (LAZR) and Innoviz (INVZ) specialize in this technology, which complements traditional cameras by providing precise depth perception that works in various lighting conditions.

How does automation relate to machine vision?

Automation relies heavily on machine vision to function effectively in unstructured environments. For robots and automated systems to work alongside humans or handle variable tasks, they need to "see" and understand their surroundings. Vision capabilities enable robots to identify objects, avoid obstacles, and perform precise actions. This connection explains why companies focused on industrial automation, warehouse robotics, and autonomous vehicles all depend on advances in machine perception technology.

What is biometric security and how does it use computer vision?

Biometric security uses unique physical characteristics like fingerprints, facial features, or iris patterns to verify identity. Computer vision plays a crucial role in facial recognition and other visual biometric systems. Companies like authID (AUID), Aware (AWRE), and Evolv (EVLV) develop technologies that use advanced cameras and AI algorithms to analyze visual data for security applications, from building access control to threat detection.

16 handpicked stocks

AI's Vision: The RealSense Revolution

This carefully curated collection of stocks represents companies at the forefront of machine perception technology. Handpicked by our investment analysts, these innovators are developing the critical hardware and software that enable machines to see and understand our world.

Han Tan | Market Analyst

Updated 2 days ago | Published at juillet 14