Systems and methods for event-based processing of photon stream data from single photon camera sensors
By applying event-based processing and digital logic on the single-photon sensor chip, the system addresses the high data generation issue of single-photon cameras, reducing power and bandwidth needs while preserving performance and dynamic range.
JP2026500759APending Publication Date: 2026-01-08UBICEPT INC
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Patent Information
- Application Number
- JP2025538396
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2022-12-27
- Filing Date
- 2023-12-27
- Publication Date
- 2026-01-08
AI Technical Summary
Technical Problem
Single-photon cameras generate significantly more data than traditional event cameras, leading to increased power consumption and bandwidth requirements that exceed available USB 3.0 capabilities, especially as resolution increases.
Method used
Implementing event-based processing on the single-photon sensor chip to reduce redundant data transmission by performing continuous flux estimation, event triggering, and data compression, using digital logic to adaptively modulate integration time and thresholds for efficient data transfer.
Benefits of technology
Reduces power consumption and bandwidth requirements while maintaining high temporal resolution and low-light performance, enabling efficient data transfer and improved dynamic range in single-photon cameras.
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Smart Images
Figure 2026500759000001_ABST
Abstract
The present invention provides a system and method for processing photon stream data received from a single-photon avalanche diode (SPAD) image sensor. An image processor receives a stream of binary pixel values from the SPAD image sensor and executes (a) a continuous flux estimation process, (b) an event trigger process responsive to the continuous flux estimation process, and (c) a communication process for transmitting image data to a host in response to an event trigger. The continuous flux estimation process may be responsive to an exponentially smoothed moving average (EMA) process, which may be defined based on a decay coefficient and / or based on prior values relative to the stream stored in a buffer memory. The EMA may be further based on hyperparameters including a variance decay coefficient and a flux decay coefficient. The event trigger process may determine when to transmit an event to the host based on variance, stochasticity, and time resolution.
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