Dishan Technology's Event-based Vision Sensors: The "Awakened Eye" Mirroring the Optic Nerve, Unlocking Boundless Possibilities for AI and Robotics

As artificial intelligence and robotics evolve at a rapid pace, perception systems are experiencing a profound paradigm shift. Traditional frame-based image sensors act as "mechanical eyes", capturing images at a fixed frequency and generating massive redundant data even when scenes remain unchanged. This not only consumes bandwidth and computing power unnecessarily, but also leaves them unable to cope with high-speed motion and extreme lighting. Motion blur arises with fast-moving objects, and poor image quality in harsh light undermines follow-up analysis and decision-making. Dishan Technology’s revolutionary Event-based Vision Sensors replicate the human optic nerve’s function, responding exclusively to dynamic scene changes. They unlock infinite potential for AI and robotics—this is far more than a technological breakthrough, but a redefinition of core perception, enabling machines to truly "see the world like living beings".

Bionic Wisdom: Perceiving Only Changes, As the Optic Nerve Does

The highly efficient operation of the human visual system stands as a marvel of biological evolution: the optic nerve transmits almost no signals to the brain when no objects move or no abrupt light changes occur in the field of vision; neural impulses are only triggered when dynamic changes take place. This sparse coding mechanism drastically conserves energy and alleviates the burden of information processing, enabling us to accurately capture critical information in complex environments. Inspired by this biological wisdom, Dishan Technology’s event-based vision sensors abandon the traditional frame-by-frame imaging mode and adopt an asynchronous event-driven mechanism: each pixel operates independently, and only outputs an event signal when it detects a light intensity change exceeding a threshold value, with the signal containing the time, location and polarity of the change (brightening or darkening). This mechanism perfectly replicates the event-driven characteristic of biological vision, transforming the sensor from a passive recorder into an active perceiver.

The advantages brought by this working mode exceed all expectations: an ultra-low latency enables the event response speed to reach the microsecond level, three orders of magnitude faster than the millisecond-level frame cycle of traditional sensors — lightning-fast enough to capture bullet trajectories or subtle movements of high-speed robotic arms. The ultra-high dynamic range surpasses 120dB, allowing the sensor to discern fine details in shadows under the harsh midday glare, or adapt instantaneously to abrupt light transitions from a dark room to the outdoors, much like human visual adaptation. What is more, the ultra-low power consumption and data volume represent a groundbreaking leap: by transmitting only change-related information, the data volume is reduced by over 90%. This means the sensor can run for extended periods on edge devices, without frequent data transmission or battery replacement, as if endowed with the wisdom of restrained perception. This bionic design not only elevates performance to new heights, but also endows machine perception systems with a life-like energy-efficient intelligence.

Technological Advancement: Intelligent Evolution — Passive Recording to Active Perception

The highly efficient operation of the human visual system stands as a marvel of biological evolution: the optic nerve transmits almost no signals to the brain when no objects move or no abrupt light changes occur in the field of vision; neural impulses are only triggered when dynamic changes take place. This sparse coding mechanism drastically conserves energy and alleviates the burden of information processing, enabling us to accurately capture critical information in complex environments. Inspired by this biological wisdom, Dishan Technology’s event-based vision sensors abandon the traditional frame-by-frame imaging mode and adopt an asynchronous event-driven mechanism: each pixel operates independently, and only outputs an event signal when it detects a light intensity change exceeding a threshold value, with the signal containing the time, location and polarity of the change (brightening or darkening). This mechanism perfectly replicates the event-driven characteristic of biological vision, transforming the sensor from a passive recorder into an active perceiver.

The advantages brought by this working mode exceed all expectations: an ultra-low latency enables the event response speed to reach the microsecond level, three orders of magnitude faster than the millisecond-level frame cycle of traditional sensors — lightning-fast enough to capture bullet trajectories or subtle movements of high-speed robotic arms. The ultra-high dynamic range surpasses 120dB, allowing the sensor to discern fine details in shadows under the harsh midday glare, or adapt instantaneously to abrupt light transitions from a dark room to the outdoors, much like human visual adaptation. What is more, the ultra-low power consumption and data volume represent a groundbreaking leap: by transmitting only change-related information, the data volume is reduced by over 90%. This means the sensor can run for extended periods on edge devices, without frequent data transmission or battery replacement, as if endowed with the wisdom of restrained perception. This bionic design not only elevates performance to new heights, but also endows machine perception systems with a life-like energy-efficient intelligence.

Empowering AI and Robots: Unleashing Infinite Imagination in New Application Scenarios

Autonomous Driving

On highways, traditional cameras may malfunction due to motion blur or strong light reflection, yet event-based sensors can accurately capture pedestrians or vehicles darting across the road abruptly, reducing perception latency to the microsecond level and gaining critical time for emergency obstacle avoidance. Meanwhile, their high dynamic range (HDR) feature enables the system to maintain stable operation in scenarios with alternating light and dark—such as tunnel entrances and exits—thus greatly enhancing driving safety.

Industrial Robotics

In the field of precision manufacturing, event-based vision can provide real-time feedback on micron-scale displacement changes, empowering robotic arms to complete ultra-high-speed sorting or nanoscale assembly tasks. For instance, during chip packaging, sensors can instantly detect tiny vibrations on the wafer surface, ensuring the operational precision reaches the atomic level.

Unmanned Aerial Vehicles (UAVs) and Unmanned Systems

In complex terrain or low-light environments, event-based sensors leverage their advantages of high dynamic range and ultra-low latency, allowing UAVs to navigate steadily through forests and caves or perform missions at night. Their low power consumption further extends flight endurance, making long-duration operations feasible.

Intelligent Surveillance and Security

These sensors only respond to genuine motion events, effectively filtering out static interferences such as swaying vegetation, light and shadow fluctuations, and reducing the false alarm rate to nearly zero. At the same time, the drastic reduction in data volume cuts storage costs by more than 90%, making large-scale deployment a reality.

Human-Computer Interaction (HCI) and AR/VR

By capturing users’ microexpressions, eye movements and even pupil changes, event-based sensors deliver a more natural interactive experience for AR/VR devices. For example, in virtual meetings, the system can identify users’ gaze directions in real time and adjust the priority of image rendering, creating a more immersive experience.

Healthcare and Medical Science

In neuroscience research, the ultra-high temporal resolution of event-based sensors allows them to record the firing activity of retinal neurons, providing a new tool for disease diagnosis. In rehabilitation training, they can accurately capture patients’ subtle movements, assisting clinicians in formulating personalized treatment plans.

The exploration of DiShan Technology is not limited to breakthroughs in a single sensor, but rather lies in constructing a technological paradigm of "life-like perception". The company is collaborating closely with top universities, research institutions and industrial partners worldwide to drive the deep integration of event-based vision and multimodal perception: for instance, the event-based + event thermal imaging fusion system enables 3D perception in pitch-dark or smoky environments; the combination of event-based vision and LiDAR integrates dynamic vision with depth information, delivering a more comprehensive environmental understanding for autonomous driving. Such technological integrations are gradually bringing robotic perception systems closer to the richness and robustness of human sensory organs.

Looking ahead, robots will no longer "perceive the world clumsily". Instead, much like humans, they will only focus on changes, comprehend dynamics and predict trends. In smart factories, robotic arms can accurately identify the positional and status changes of components, and operate as flexibly as skilled craftsmen even on high-speed production lines. In complex traffic scenarios, autonomous vehicles are able to adjust their driving routes and speeds in a timely manner by perceiving environmental changes—such as suddenly appearing pedestrians or obstacles—thus maintaining stable travel even in harsh weather like heavy rain. Service robots can keenly capture users' emotional changes, and make natural and appropriate responses by analyzing facial expressions and vocal intonations: for example, they can proactively play soothing music or offer relaxation suggestions when users show signs of irritability.

This is more than just an evolution of technology; it is a reshaping of the relationship between intelligent agents and the environment. Machines are shifting from "adapting to the environment" to "understanding the environment", and will ultimately achieve "harmonious interaction with the environment"

See the Future through the Eyes of Events

DiShan Technology’s event-based vision sensors represent more than a technological upgrade; they embody a philosophical reflection on the very essence of perception. Like an electronic incarnation of the human optic nerve, they capture the truest dynamic pulse of the world in an elegantly minimalist way. Under the gaze of these awakened eyes, AI will grow keener, robots will become more agile, and the intelligent world will draw ever closer to the wisdom of life. When machines learn to "only see change", they truly begin to comprehend the rhythm of the world — the life rhythm woven from countless subtle movements, the flow of light and shadow, and the transformation of energy.

Today, DiShan Technology has lit the first spark with this vision revolution. Tomorrow, when thousands upon thousands of these awakened eyes spread across the globe, we will witness an unprecedented era of intelligence: a world where machines are not merely tools, but new partners that understand life and carry forward civilization. This perception revolution is paving the way to the sea of stars and vast galaxies, for the next great leap forward of human intelligence.