In this booth interview with Laser Focus World, Shannon Roberts—Product Manager at Radiant Vision Systems—provides an introduction to the new Near-Infrared (NIR) Intensity Lens in a demo from the floor of Photonics West 2019, San Francisco, CA.
Biometric security measures—including fingerprint ID, iris and & retinal scanning, and voice recognition—are gaining popularity across the world due to increasing cybersecurity and privacy threats, accompanied by advancements in technology that make these identification methods possible.
Facial recognition (or “FR” for short) is booming, showing up in more and more products, and the FR market is expected to grow at a CAGR of 16.6% from $3.2 billion in 2019 to $7 billion in 2024.1 FR technology has enabled advances in public safety, biometric security, and convenience, but critics point out that it can also be applied in ways that might seem like “big brother” surveillance.2
There are 62 million security cameras in the U.S. alone,1 and roughly 650 million facial recognition (FR) cameras worldwide,2 with millions more FR-capable devices carried around every day in people’s pockets.
This paper discusses 3D sensing and how NIR light is used for facial recognition systems. It explains the importance of measuring radiant intensity of NIR emissions and the challenges of obtaining accurate measurement to ensure the quality of facial recognition systems in devices such as smartphones, laptops, and automobiles. It introduces Radiant's integrated NIR Intensity Lens solution and outlines the solution's advantages for evaluating NIR emitters for use in consumer products.
Near-infrared light—the range of electromagnetic wavelengths between roughly 700 nanometers (nm) and 1500 nm—is invisible to the human eye, making it ideal for an increasing number of 3D sensing applications such as facial recognition, iris scanning, gesture recognition, terrain mapping, automobile LiDAR, and night-vision security cameras.
Radiant Vision Systems discusses the importance of NIR measurement in facial recognition technology, measurement challenges, and technologies that enable measurement efficiency (including imaging, wide-field-of-view optics, and structured light pattern evaluation for characterizing NIR dot patterns used in facial sensing).
The Near-Infrared (NIR) Intensity Lens system is an integrated camera/lens solution that measures the angular distribution and radiant intensity of 850 or 940 nm near-infrared (NIR or near-IR) emitters. The NIR Intensity Lens system utilizes Fourier optics to capture a full cone of data in a single measurement to ±70 degrees, giving you extremely fast, accurate results ideal for in-line quality control.
Near-infrared (NIR) light covers wavelengths of the electromagnetic spectrum from approximately 750 to 2500 nanometers (nm), which is beyond human visual perception. NIR-based sensing provides machines with information about objects in the physical environment.
Measurement techniques for near-infrared (NIR) LEDs and lasers ensure the performance of Time-of-Flight (ToF) light-based proximity sensing and 3D mapping and identification using dot patterns produced by diffractive optical elements (DOE).
This week, thousands of professionals in the optics, photonics, lighting, camera, lens, display, AR/VR, and related industries will be gathering in San Francisco for a series of events held by SPIE, the international society for optics and photonics. The first event (taking place currently) is the 3rd annual Augmented, Virtual, and Mixed Reality Conference, February 2-4 at Moscone Center West.
Scientific methods allow us to understand and quantify our perception of visible light and color. In this infographic, you will learn the language of light, understand color spaces and color matching functions, and other principles of light & color measurement. This tool is a useful reference for anyone with a passion for light metrology, or who works in applications dealing with light & color measurement.
How cool would be to make things happen by just waving our hands in the air—like Iron Man commanding his network of artificial intelligence-enabled systems? It’s like the ultimate personal IoT. Well, gesture recognition and IT technologies may not have reached the level of science-fiction movies quite yet, but they’re getting there.