Integrations

Beyond conventional solutions

Ubicept’s unified imaging pipeline integrates hardware and software to ensure seamless performance and unmatched quality. See how we compare to conventional solutions below.

Limits of AI-based methods

There are many solutions which process frames from conventional cameras using AI. These can produce impressive results for applications like artistic video enhancement, but they risk missing or even hallucinating critical details because they generate information not present in the original data.

New sensors, old pipelines

Single-photon avalanche diode (SPAD) sensors can capture data with zero read noise, but treating their outputs like conventional frames discards important information due to bandwidth constraints in the pipeline. This leads to issues similar to those found with more conventional approaches.

Optimized photon capture

Ubicept’s unified solution uses our Flexible Light Acquisition and Representation Engine (FLARE) to encode rich photon streams from SPADs, producing bandwidth-efficient, application-specific outputs that preserve all the necessary information for accurate computer vision downstream.

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The future is now

SPADs may seem futuristic, but they’re already here today. Higher-resolution SPADs are currently used for specialized applications due to higher costs from lower production volumes. However, since they can be manufactured with the same processes and materials as conventional sensors, they can be nearly as economical at scale. Lower-resolution SPADs have also appeared in vehicles, robots, and even smartphones, demonstrating clear market readiness.

At the same time, conventional CMOS sensors remain the workhorse for most perception systems. They’re well understood and readily available, but they’re also approaching the limits of what they can deliver. As SPAD technology advances, the industry is seeing how much additional performance these sensors can provide.

It’s not a question of if you should consider SPADs for your computer vision applications, but how to best leverage them as they become ubiquitous for perception tasks. Ubicept is uniquely positioned to help you make the transition.

Our approach to partnerships

Building a unified system can involve significant investment, so we streamline the process with initial consultations and joint development projects. These phases represent a typical roadmap, but we’ll tailor our approach to fit your goals.

PHASE 1

Can our technology meet your needs?

Together, we deploy the Ubicept Toolkit in your environment and run initial tests. This establishes a working pipeline and gives a more complete view of compute performance, image quality, and integration readiness for your use case.

PHASE 2

Is large-scale implementation practical?

If the Ubicept Toolkit alone doesn’t meet your requirements, we identify the tuning or integration needed. This includes assessing compute and latency constraints, and exploring pipeline tradeoffs to align the system with your application.

PHASE 3

How do we make this a reality?

Finally, we work with you to bring the system to production. This may involve using the components of the Ubicept Toolkit directly or integrating our intellectual property more deeply. Together, we ensure smooth deployment and maximum value.