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8MP, 1/1.8" 16mm Machine Vision Lens (S Mount)

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8MP, 1/1.8" 12mm Machine Vision Lens (S Mount)

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8MP, 1/1.8" 8mm Machine Vision Lens (S Mount)

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2/3" 2X Magnification, F6.5 Motorized Telecentric Lens

Megapixel Monofocal

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2/3" 1X Magnification, F6.5 Motorized Telecentric Lens

Megapixel Monofocal

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2/3" .5X Magnification, F6.5 Motorized Telecentric Lens

Megapixel Monofocal

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2/3" .25X Magnification, F6.5 Motorized Telecentric Lens

Megapixel Monofocal

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9MP, 2/3”, 5.5-12.7mm, F2.5 LensConnect with remote focus and zoom adjustment, (C-mount)

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4K 1/1.6" 1.7mm Fisheye IR Corrected Board Lens (S Mount)

Fisheye

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4K 1/1.8" 15-100mm F1.9 IR Varifocal lens with P-iris (CS-Mount)

Megapixel Varifocal

Events

Explore real-world applications, discover how early anomaly detection prevents costly failures, and learn how these technologies help minimize waste while maximizing productivity and sustainability across manufacturing, agriculture, environmental monitoring, healthcare, and beyond. Tune in to discover how Computar SWIR solutions can enhance your imaging capabilities beyond the visible spectrum for reliable performance in challenging environments.

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On-demand! This webinar provides a practical guide to designing and deploying vision systems that deliver stable, repeatable precision in demanding industrial environments. Learn how ruggedized optics and smart sensor-lens pairing can protect your investment, boost uptime, and ensure your system performs flawlessly under pressure.

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Join us at North America’s largest robotics and automation event, where Computar will demonstrate its award-winning machine vision lenses.

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This session explores how short-wave infrared (SWIR) imaging addresses the limitations of visible light systems. Learn how Computar's advanced SWIR lens solutions, including specialized designs, optical coatings, and application-specific variants, work. Additionally, learn about Computar’s multi-band solution for imaging at multiple wavelengths with a single camera and lens, offering cost and space savings. Tune in to discover how Computar SWIR solutions can enhance your imaging capabilities beyond the visible spectrum for reliable performance in challenging environments.

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Multi-band filters play a crucial role in food and beverage sorting, making it more efficient and effective in several ways. Learn how these filters can enhance and simplify sorting, resulting in more efficient operations.

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Discover how machine vision is transforming supply chain operations with real-time insights, AI-driven automation, and strategies to boost resilience, efficiency, and workforce satisfaction. A Vision Systems Design webinar co-sponsored by Computar Optics. Available On-Demand. Original Broadcast Date: August 20, 2025 Duration: 1 hour.

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Practical Machine Vision Use Cases for Short Wave Infrared Imaging (SWIR). Computar will co-sponsor this Vision Systems Design webinar.

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This webinar will explore laser marking, coding, and cutting in the photonics industry, emphasizing their importance in electronics, medical devices, packaging, and labeling.

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An exploration of Short-Wave Infrared (SWIR) imaging, where cutting-edge technology meets practical application. Discover the power of SWIR in revolutionizing automated inspection, quality control, and video surveillance across various industries.

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In an era where precision and efficiency are essential, machine vision stands at the forefront of technological innovation. This webinar offers a deep dive into the transformative advancements shaping optics and robotics in manufacturing, healthcare, and transportation applications.

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Discover how to elevate your machine vision applications to new heights of clarity and convenience. This recorded webinar will unveil the visionary capabilities of the LensConnect Series. LensConnect is the latest innovation in plug-and-play lens technology designed for the discerning needs of B2B operations. Learn how the award-winning LensConnect Series revolutionizes the industry with its unparalleled precision and smart remote-control features. Whether in manufacturing, automation, inspection, or any field where image accuracy and remote adjustments are critical, this webinar will provide insights to make your visual processes more efficient and reliable.

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Multispectral and hyperspectral imaging are advanced technologies with applications in various fields, including security. These technologies capture and analyze images of objects or scenes using multiple spectral bands or wavelengths of light. This webinar explored how this imaging can enhance security applications.

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Multispectral and hyperspectral imaging technologies have significantly impacted agriculture by providing farmers with valuable data and insights about their crops. These imaging techniques can detect subtle differences in plant health, moisture levels, and nutrient content, which can help farmers optimize their irrigation, fertilization, and pest control practices. They can also help identify and prevent disease outbreaks, leading to higher crop yields and better-quality produce. Measuring large-scale crop effects in agricultural regions further helps minimize the environmental footprint of farming practices.

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This webinar explores how machine vision has impacted multiple industries and the crucial role of choosing the right lens, which is essential in the image quality, field of view, and overall system performance.

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If you work in machine vision, you’ve probably felt the limits of visible-light imaging—glare, opaque housings, look‑alike materials, or fog that swallows contrast. Short-Wave Infrared (SWIR), especially when paired with InGaAs sensors and purpose-built optics like Computar’s ViSWIR series, gives us a different kind of signal: contrast from chemistry, transmission through silicon and hard plastics, and resilience against haze. Think of it as turning on a new layer in the scene—suddenly, the “invisible” becomes a dataset.

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For generations, the image of farming has been one of soil, sweat, and machinery working the land. While that foundation remains, the modern farm is increasingly a high-tech environment where data is as vital as daylight. A quiet revolution is underway, driven not by bigger tractors, but by a powerful new way of seeing. This new way of farming is precision agriculture, powered by multispectral and hyperspectral imaging—technologies that enable farmers to see far beyond the visible spectrum.

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Image sensors — the fundamental devices that convert light into electrical signals — are the eyes of modern machines. Their continual advancement is transforming how we perceive and interpret the world through technology. As artificial intelligence (AI) continues to accelerate across every industry, more cameras will soon be built for machines than for humans, demanding sensors capable of extracting complex, data-rich insights beyond simple illumination capture.

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Modern vision systems mix AI, robotics, and automation. Your lens isn’t just about field of view anymore—it’s part of a moving, changing loop with working distance, lighting, motion, and model accuracy. Pick lenses as a systems choice: you’re buying optical quality, plus calibration stability, remote control, and room to grow.

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In the constantly evolving world of industrial automation, precision and efficiency are paramount. Countless technologies work in concert to keep production lines moving, robots operating, and quality standards high. Yet, one of the most critical components is often one of the most overlooked: the lens. Specifically, the rise of lenses with remote adjustment capabilities is quietly transforming industries by giving machines the power of dynamic sight.

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In the ever-evolving landscape of transportation and traffic management, technology plays a crucial role in ensuring safety, efficiency, and sustainability. One of the most significant yet often overlooked innovations is the use of optical technologies. From traffic cameras to advanced sensors, optical systems are transforming how we understand and manage transportation networks. In this blog post, we will explore the impact of optics on transportation and traffic management.

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In today's fast-paced food industry, ensuring that our food is safe and of the highest quality is more essential than ever. With the constant demand for quality, innovative technologies have stepped up to the plate, and multispectral and hyperspectral imaging are leading the way. Explore how these advanced imaging techniques are changing the way we understand the quality of food products, providing us with insightful details that food producers may easily overlook.

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Machine vision has emerged as a transformative innovation in an era increasingly shaped by technological advancements. This technology enables machines to interpret and understand visual information, vital in various industries, including manufacturing, logistics, healthcare, and agriculture. This blog post provides a beginner’s guide to machine vision, covering its fundamental components and diverse applications.

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Multispectral and hyperspectral imaging technologies capture and analyze light across multiple spectral bands, allowing for applications well beyond human visual capabilities. These advanced imaging techniques provide valuable insights across scientific, industrial, and environmental fields by revealing the unique spectral fingerprints of materials and processes. The following sections will explore eight key application areas, including enhancing agricultural precision, monitoring global environmental changes, advancing medical diagnostics, and preserving cultural heritage.

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In the fast-paced world of food and beverage processing, ensuring product quality and safety is crucial. Manufacturers increasingly turn to advanced technologies to maintain high standards as consumer expectations rise. One such technology that plays a vital role in this industry is multi-band filtering. This article examines how multi-band filters improve the sorting process, enhancing quality control and operational efficiency.

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Machine vision is at the forefront of technological advancements and is critical in automating various industries. Organizations achieve unparalleled accuracy, efficiency, and productivity by integrating sophisticated imaging systems with artificial intelligence and machine learning algorithms. This article explores the transformative impact of machine vision in manufacturing, healthcare, and logistics while examining the crucial role of the lens in these systems.

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Multi-band filters in short-wave infrared (SWIR) imaging capture images at specific wavelengths to enhance image contrast and detail. Adding the filters enables the collection of more information. By selectively blocking and transmitting different wavelengths of light, multi-band filters enable the precise analysis of materials and surfaces. This capability is instrumental in environmental monitoring and industrial inspection fields, where distinguishing fine details can improve decision-making and efficiency. The versatility and adaptability of these filters make them indispensable tools in modern imaging technologies, offering enhanced clarity and insight across a wide range of applications.

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Photonics has undergone remarkable transformations in recent decades, driven by significant innovations in laser technology, optics, and materials science. These advancements have enhanced the efficiency and precision of laser applications across various industries—such as telecommunications, healthcare, and manufacturing—and have also facilitated the integration of photonics with emerging technologies like artificial intelligence (AI) and the Internet of Things (IoT). This article explores laser technologies' key trends and impacts on modern manufacturing processes and product identification.

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The predicted trends for robotics 2025 are poised to reshape the landscape of technology and business operations. With advancements in artificial intelligence, collaborative robots, and autonomous systems, industries will experience a transformation that enhances efficiency, safety, and innovation.

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Multispectral and hyperspectral imaging technologies have transformed numerous industries, making advancements once only seen in science fiction. They deliver detailed insights that were previously out of reach, enhance our ability to analyze materials precisely, and empower us to spot issues that traditional imaging systems might miss. As these technologies evolve, they will be vital in tackling significant future challenges, including environmental sustainability and global security.

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Machine vision significantly impacts sustainability by enhancing various environmental conservation efforts. Integrating AI and Machine Learning into machine vision systems improves efficiency and precision, fundamentally changing operations across multiple sectors. By leveraging these technologies, machine vision systems can monitor ecological changes, track wildlife populations, and identify environmental threats more efficiently than traditional methods. These systems enable precise data collection and analysis, leading to more informed decision-making for conservation strategies.

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Often overlooked in life science applications, the lens is crucial to machine vision systems. These systems, essential to life sciences, rely on the lens for medical imaging, research, microscopy, slide reading, pill counts, and pharmaceutical manufacturing and packaging quality control.

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The global photonics industry involves the research, development, and application of light or photons. It encompasses various applications, from telecommunications and medical devices to energy and manufacturing. By manipulating photons or particles of light, researchers and engineers can innovate and improve various technologies that impact our daily lives.

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In the ever-advancing field of industrial automation and robotics, achieving the highest levels of precision and reliability is paramount. Machine vision systems, which enable machines to "see," are crucial in this efficiency and accuracy. Central to these systems are machine vision lenses, which must endure the harsh conditions often found in industrial environments. This is where ruggedized machine vision lenses come in. They offer durability and precision without compromising performance.

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Machine vision technology is a transformative tool. It empowers industrial robotic equipment to 'see' and rapidly make decisions based on its visual perception. This technology, often utilized for visual inspection and defect detection, positioning and measuring parts, and identifying, sorting, and tracking products, is a game-changer in industrial robotics.

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Short-wave infrared imaging (SWIR) is an advanced technique that captures images from wavelengths that are invisible to the human eye. The range of wavelengths used in SWIR cameras is generally between 0.9 – 1.7μm, but it can also extend from 0.7 – 2.5μm. SWIR cameras are portable imaging systems that can produce detailed images with precise color measurements and advanced chemical imaging.

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Have you ever considered how machine vision technology has transformed automated inspection? Advancements in machine vision technology significantly impact the efficiency and quality of inspections. These systems monitor material appearance and identify defects based on similarity in contrast, texture, and geometry using statistical analysis.

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Take your security to the next level by combining machine vision technology with a robust video management system. Together, they offer a powerful combination that delivers enhanced monitoring and security. Machine or computer vision is a branch of artificial intelligence that enables machines to interpret and understand visual data. This blog post will explore the role of computer vision in enhancing surveillance and security.

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Ever heard of P-Iris? Well, it's like the James Bond of iris technology! But what does it actually do?

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