Extending to the "microscopic" and "low-light" poles: see and not see
Dishan Technology's breakthroughs in CMOS image sensors and noise reduction technology have solved the bottleneck of traditional imaging in extreme environments, allowing machines to "see more clearly and realistically".
Revolution in low-light imaging: Traditional CMOS sensors tend to be noisy and blurry in low-light environments. By improving the internal structure of the sensor, using advanced materials, and combining the powerful computing power of its AI GPU, Dishan Technology has significantly improved the sensitivity of the sensor.
Experience upgrade: This allows the device to output clear, low-noise images even in extremely dark environments (such as night surveillance, underground pipe gallery detection), pushing the imaging experience from "visible" to "clear color and detail".
Industry impact: In the field of security monitoring, this means that even at 0.01Lux illumination, it can effectively suppress color noise, support face recognition and motion detection, and greatly improve the level of public safety.
Extreme sensor performance: The new sensor developed by the company not only improves image quality, but also reduces power consumption. This low power consumption and high sensitivity are the core requirements of smart wearable devices (such as AI glasses) and IoT terminals.
2. Extend to the "macro" and "ultra-high-definition" poles: see the whole picture
If micro is to solve the problem of "details", then macro is to solve the problem of "vision" and "capacity". Although Dishan Technology mainly provides core computing power and sensing components, its technology supports the realization of 100-million-level pixel imaging systems.
Global Perception of Billions of Pixels: In security and industrial inspection, traditional megapixel cameras turn into a mosaic when zooming in to see distant details. Dishan Technology's underlying technologies (such as 2nm process GPUs and high-performance image processing) provide the necessary computing power support for systems with billions of pixels (such as 1 billion or even 2.4 billion pixels).
Experience upgrade: This technology allows users to accurately capture sparrows with a wingspan of 20 cm from a few kilometers away, or monitor thousands of targets simultaneously on vast scenic spots and airport runways. It's an experiential leap from "single point of monitoring" to "global recording."
Industry impact:
Ecological protection: Accurately observe the migration of migratory birds and establish a biological characteristic bank.
Smart airports: Real-time tracking of aircraft, vehicles, and personnel on the runway to prevent collisions and improve operational efficiency.
Low-altitude economy: Monitor drone distribution lanes to provide "eyes" for future air traffic management.
The "polar" contrast of the imaging experience
To more intuitively understand this change "extending to the poles", here is a comparison table:
Dimensions | Micro/low-light extreme scenes | Macro/UHD extreme scenes |
Core Challenge | Poor lighting, noise interference, loss of detail | Broad vision, small target, and huge amount of data |
The supporting technology of Dishan Technology | New low-power CMOS sensor, AI noise reduction algorithm, 2nm process GPU | High-performance AI GPU computing power, heterogeneous computing architecture, image processing chips |
Experience keywords | Clear, pure, and true | Panoramic, detailed, at the same time |
Typical application scenarios | Night face recognition, autonomous driving night vision, medical endoscopes | Smart airport management, wildlife monitoring, smart city screen |
Revolutionary changes for the industry
Dishan Technology's technology is not just a pile of parameters, it is reconstructing the industry's operating mode:
From "people looking for information" to "information looking for people": Relying on hundreds of millions of pixels and intelligent analysis, the system can automatically identify tiny targets of interest (such as a specific bird or a violator) in the huge picture, and issue early warnings, greatly reducing the fatigue of manual screen staring.
Breaking Physical Limits: Through the combination of "optics + computing", it compensates for the limitations of the physical focal length and sensor size of traditional lenses. For example, on mobile phones or lightweight AI glasses, imaging effects close to professional equipment can also be achieved.
Empowering localization substitution: Dishan Technology has achieved complete autonomy and control of core IP, and has developed a tool chain compatible with mainstream ecology. This means that domestic manufacturers no longer rely entirely on imported high-end sensors and chips, and can carry out more in-depth customized development in security, autonomous driving and other fields.
Through the dual breakthroughs in sensors and computing power, Dishan Technology has indeed pushed the imaging experience to the extreme - not only allowing us to see every detail in the dark, but also allowing us to control every small change in the vast world. This is the best proof that technology serves "experience".
Break Through the "Nighttime" Limitation and Unlock All-Weather Vision
Traditional image sensors often need to boost the ISO sensitivity to maintain image brightness in nighttime or low-light environments, but this usually comes with a dramatic surge in noise, creating a paradox where brightness and sharpness cannot be achieved simultaneously.
Dishan Technology’s technology has broken this vicious cycle. Its sensors, through the in-depth integration of hardware-level noise reduction and AI algorithms, can maintain high signal-to-noise ratio (SNR) output even under extremely low illumination.
For example, in nighttime urban surveillance scenarios, cameras equipped with this technology can not only clearly identify license plate numbers and pedestrians’ facial features, but even capture the subtle sway of tree branches a hundred meters away, providing the security field with an innovative solution that ensures clearer, farther, and more accurate imaging. In the field of astrophotography, its sensors can capture finer details of dim deep-space celestial bodies, revealing the beauty of the starry sky with stunning clarity. In lightless environments such as underground exploration, devices can also achieve precise detection via low-light imaging technology, facilitating resource development and scientific research.
Race Ahead on the "Speed" Track, Freeze Millisecond Moments
In high-speed motion scenarios—such as industrial assembly line inspection, high-speed drone flight, or sports event capture—traditional sensors often suffer from motion blur or the rolling shutter effect due to slow readout speeds, coupled with noise accumulation, which results in the loss of critical moments.
The innovative signal readout circuit developed by Dishan Technology adopts a parallel multi-channel transmission architecture and global shutter technology, boosting the image data transmission rate by 5 times to an impressive 40 Gbps, whereas the typical transmission rate of traditional sensors is only 8 Gbps. Combined with its low-noise characteristics, this technology ensures that every frame maintains ultra-high purity and sharpness during high-speed continuous shooting (tens of thousands of frames per second) or high-frame-rate recording (e.g., 8K 120fps video).
For instance, in motor racing events, cameras can clearly capture the transient deformation of racing car tires in contact with the ground—a feat difficult to achieve with traditional sensors. In the field of industrial quality inspection, tiny defects on high-speed production lines can also be accurately identified, improving defect detection accuracy by 30% compared with traditional technologies, and significantly enhancing production efficiency and product quality.
Empowering the Future: Enabling Machines to "See" with Greater Insight and Building the Cornerstone of Intelligent Perception
Dishan Technology’s pursuit extends beyond visible improvements in image quality perceived by the human eye, and focuses more on enhancing the "understanding" capability of machine vision.
In the fields of artificial intelligence and robotics, image sensors serve as the "eyes" of machines, and the quality of the data they output directly affects the decision-making accuracy of AI algorithms. The presence of noise can severely interfere with image feature extraction, leading to reduced recognition rates and increased misjudgment rates. By reducing noise, Dishan Technology has significantly improved the contrast and detail sharpness of images, providing higher-quality "raw materials" for subsequent AI inference.
Intelligent Driving: The "Clairvoyant Eye" for Safe Perception
In Advanced Driver Assistance Systems (ADAS), the accuracy and real-time performance of environmental perception are the key to ensuring driving safety. Dishan Technology’s low-noise sensors can identify roadside obstacles, traffic signs and pedestrians earlier and more accurately.
For instance, when driving in rainy, foggy weather or at night, the sensors can penetrate harsh environments to clearly perceive road condition information within a 200-meter range ahead, providing millisecond-level decision-making basis for autonomous driving systems. Their high dynamic range (HDR) characteristics can also effectively suppress glare, ensuring that the cameras still work properly even when exposed to high beams from oncoming vehicles, thus avoiding "visual blind spots".
Industry 4.0: The "Quality Inspection Maestro" of the Microcosm
From "human eye experience" to "machine vision"