Chuck Gershman is the CEO and co-founder of Owl Autonomous Imaging. He has spent more than 30 years in semiconductors, AI imaging, computer vision, and autonomous sensing technologies across executive management, engineering, marketing, business development, and operations.
Chuck is a Drexel University College of Engineering Alumni Circle of Distinction inductee, which is the highest honor bestowed upon alumni by the College. Earlier in his career he was honored as a finalist for EE Times’ ACE Award for High Technology Executive of the Year and was recognized by Medical Marketing & Media as a Top 40 Healthcare Transformer for contributions to Clinical AI Decision Support technologies.
Over the course of his career he has helped lead multiple technology companies through growth and acquisition, including exits to Intel and PMC-Sierra. Chuck also hold multiple U.S. patents related to semiconductor architecture and AI-enabled imaging systems.
The Owl mission has always been straightforward: fundamentally improve machine perception under the real-world conditions where existing sensors fail.
What is the backstory behind Owl Autonomous Imaging?
The foundation of Owl’s technology originated from a U.S. Air Force challenge grant involving precision tracking of ballistic missile systems. That effort led to the development of core thermal ranging and perception technologies which eventually evolved into Owl’s broader thermal computer vision platform.
From the beginning, we recognized that thermal imaging had enormous untapped potential beyond traditional night vision applications. Thermal sensors inherently see living objects exceptionally well and maintain performance independent of ambient lighting conditions. However, legacy thermal systems were historically constrained by low resolution, analog architectures, high cost, and limited scalability.
Owl was founded in 2019 to solve those limitations.
Our team combines deep semiconductor expertise, thermal imaging expertise, AI perception expertise, and advanced camera system experience. Several members of the team previously contributed to the development of the world’s first commercial digital cameras and optical scanning systems. Members of the team have also developed thermal imaging systems deployed in space as well as advanced military-grade thermal imaging systems fielded to date.
Today Owl is focused on building a modern, digitally architected thermal perception platform designed for scalable autonomy applications across both defense and commercial markets.
What core problems is Owl solving?
Modern autonomous systems and emerging Physical AI platforms still struggle with one of the most fundamental challenges in perception: reliable detection, classification, and spatial understanding under degraded visual conditions.
Conventional cameras work well during ideal daylight conditions but fail rapidly in darkness, glare, smoke, fog, rain, snow, dust, or battlefield obscurants. Radar provides range but lacks spatial fidelity. LiDAR delivers useful depth information but remains challenged by cost, SWaP constraints, weather susceptibility, and scalability into truly mass-deployed autonomous systems.
As Physical AI moves beyond controlled environments into real-world operation, the sensing challenge becomes significantly more difficult. Autonomous systems must not only perceive objects, but understand and react to dynamic environments reliably, day and night, and under adverse environmental conditions.
Owl addresses this problem through high-resolution thermal perception combined with AI-driven ranging, classification, and scene understanding.
Our systems are designed to provide dense thermal perception and precision ranging regardless of lighting condition or environmental degradation. This capability is increasingly important across autonomous drones, robotic mobility, defense systems, industrial autonomy, and future automotive safety platforms.
As autonomous systems proliferate, the requirement is no longer simply achieving autonomy in ideal conditions. The requirement is achieving autonomy reliably at scale, in real-world operating environments, at economically deployable cost structures.
That is where Owl is focused.
Owl originally became known for automotive thermal perception. How has the company evolved?
Automotive safety and pedestrian automatic emergency braking remain important long-term markets for Owl, and we continue to believe thermal perception will ultimately become a critical sensor modality for next-generation safety systems.
However, the broader autonomy market has evolved significantly over the last several years.
Today we are seeing major demand pull from defense and dual-use autonomous systems, particularly unmanned aerial systems, robotic mobility, perimeter security, and autonomous sensing platforms operating in difficult environmental conditions.
This market transition aligns extremely well with Owl’s core strengths.
The defense community increasingly recognizes that future autonomous systems must be:
- Low SWaP-C (Size, Weight, Power, and Cost)
- Highly manufacturable
- Scalable into volume production
- Power efficient
- Operational day and night
- Effective in degraded visual environments
- Cost optimized for attritable deployment models
These requirements map directly into Owl’s semiconductor-first architecture approach and are enabled through Owl’s integrated hardware and software platform strategy.
Our KnightOwl™ product family delivers advanced thermal camera core and focal plane array hardware optimized for low SWaP autonomous platforms, while KnightVision™ provides Owl’s AI-enabled perception and software stack for thermal ranging, object classification, tracking, localization, and autonomous scene understanding.
We believe the industry is transitioning from legacy thermal architectures optimized for premium low-volume military systems toward digitally architected thermal platforms capable of scaling more like modern semiconductor products.
That shift creates a significant opportunity for Owl.
What makes Owl’s technology and products unique?
Owl has developed a fundamentally different thermal imaging architecture built around a digital-first focal plane design philosophy.
Historically, thermal imaging systems have relied heavily on analog readout architectures that impose limitations on power, scalability, calibration complexity, manufacturability, and imaging performance.
Owl’s architecture moves substantial functionality into the digital domain directly at the focal plane level. This approach enables significantly lower system power, improved scalability, reduced calibration complexity, higher frame rates, and substantially improved manufacturability relative to traditional thermal architectures.
Our KnightOwl™ thermal imaging product family leverages megapixel-class digital focal plane architectures capable of delivering HD thermal imaging with extremely low SWaP profiles suitable for autonomous platforms, drones, robotic systems, and next-generation defense applications.
In parallel, Owl’s KnightVision™ software platform provides advanced AI-enabled thermal perception, ranging, classification, localization, tracking, and scene understanding capabilities for next-generation Physical AI and autonomous system stacks.
Importantly, our systems are designed from the outset around scalability and production economics rather than exclusively optimizing for niche premium military deployment models.
We believe this combination of semiconductor-first thermal architecture, AI-enabled perception, and manufacturable system design positions Owl uniquely for the next generation of scalable autonomous systems.
Why is manufacturability and scale becoming so important in thermal imaging?
The global defense environment has changed dramatically.
The emergence of autonomous drones, attritable systems, autonomous swarming, and distributed sensing architectures has fundamentally altered procurement assumptions across defense markets.
Historically, thermal imaging systems were optimized for exquisite, low-volume platforms where cost and manufacturing scalability were secondary considerations.
That model does not scale effectively into emerging autonomy and drone deployment paradigms.
Future autonomous systems may require thermal sensing deployment at volumes that are orders of magnitude larger than historical thermal imaging programs. This creates enormous pressure on manufacturability, semiconductor scalability, packaging, calibration infrastructure, yield optimization, power consumption, and supply chain resilience.
Owl’s architecture and roadmap were built with these realities in mind.
We believe future leaders in thermal perception will not simply be companies with strong sensor performance. They will be companies capable of delivering manufacturable, scalable, semiconductor-driven thermal architectures aligned with modern autonomous system deployment requirements.
How does Owl fit into the broader autonomous defense trend?
The defense community increasingly recognizes that autonomous systems will play a central role in future force structures.
That includes:
– Autonomous drones
– Counter-UAS systems
– Autonomous ground systems
– Perimeter security
– ISR platforms
– Soldier-borne systems
– Robotic mobility platforms
Thermal perception is uniquely important in these environments because it provides robust detection capability independent of visible lighting conditions and performs exceptionally well against living targets and heat signatures.
At the same time, these platforms demand extremely aggressive SWaP-C requirements and increasingly require scalable deployment economics.
Owl is currently preparing to enter execution on a major U.S. government program focused on advanced next-generation thermal imaging technologies for autonomous systems. While we cannot discuss program specifics publicly at this time, the effort represents an important validation of Owl’s architecture, manufacturability strategy, and long-term vision.
We believe this is part of a much broader transition toward digitally architected thermal perception systems designed specifically for scalable autonomy applications.
What markets does Owl address today?
Owl operates across both commercial and defense autonomy markets.
These include:
– Autonomous drones and UAS
– Robotic mobility
– Defense ISR systems
– Perimeter security
– Industrial autonomy
– Automotive safety systems
– Commercial autonomous mobility
We view the market opportunity through a dual-use lens.
Many of the same core technical requirements exist across both defense and commercial autonomy:
– Reliable operation day/night
– Robust degraded visual environment performance
– Low power consumption
– Compact form factors
– AI-compatible outputs
– Scalable production economics
The convergence of these requirements creates strong long-term alignment between defense autonomy and commercial autonomy markets.
What is next for Owl Autonomous Imaging?
Owl has grown significantly over the last several years.
We now have active customer engagements across multiple autonomy and defense sectors, expanding strategic relationships across the semiconductor and thermal imaging ecosystem, and increasing focus on scalable deployment opportunities.
Our immediate priorities are:
– Executing on our next-generation thermal imaging roadmap
– Scaling manufacturing readiness
– Expanding strategic customer engagements
– Advancing deployable AI perception capabilities
– Supporting next-generation autonomous system requirements
We believe thermal perception is moving from a niche sensing modality into a foundational enabling technology for autonomous systems operating in the real world.
Future autonomous systems will require sensor diversity, robust perception under degraded conditions, scalable deployment economics, and manufacturable architectures capable of supporting very large deployment volumes.
That is the future Owl is building toward.
Contact Owl Autonomous Imaging
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