In the field of intelligent perception, the core of innovation lies in building high-performance chips — and our key pursuit is to enable these chips to accurately adapt to intelligent devices such as vehicle-mounted systems, robots, and drones, making them the exclusive core perception support for such equipment. At Core Vision Microelectronics, we have always risen to challenges and been committed to breaking the technological boundaries of chips — whether it is overcoming the technical barriers of single-photon-level detection or exploring new paths for the seamless integration of physical perception and AI decision-making, we have never stopped our pace.
However, in the process of promoting multi-scenario implementation, we have gradually identified a key bottleneck: existing 3D sensing chips are either constrained by the low-light performance shortcomings of consumer-grade products or limited by the volume and cost pressures of industrial-grade equipment, thus failing to precisely meet the personalized demands of different scenarios.

Hence, the VR9150 — a core chip developed by Core Vision Microelectronics based on in-depth research into multi-scenario perception needs and exclusively designed for diverse application scenarios — came into being.

Challenge: Create a Pair of "Myopia-Free, Latency-Free" Eyes for Intelligent Devices

The original aspiration behind the development of the VR9150 is not to "build a more powerful chip", but to solve the fundamental problems of intelligent perception — enabling AI to "see clearly, respond quickly and adapt widely" in diverse environments. Any breakthrough in technical indicators means an extra layer of safety assurance. This requires addressing three major industry-level challenges head-on:

The Trade-off Between Low-Light Performance and Speed

Traditional photoelectric sensors suffer from low light-sensing efficiency. By contrast, the VR9150 achieves a single-photon detection efficiency of 29% with a response time of less than 10 nanoseconds.

The Balance Between Adaptability and Performance

Scenarios such as autonomous driving wide-angle detection, robot obstacle avoidance and drone long-distance exploration vary greatly in requirements. General-purpose chips either have a single function or require additional modules that increase size and cost.

The Conflict Between Precision and Practical Implementation

Vehicle-mounted applications demand centimeter-level ranging accuracy, which contradicts the constraints of system laser energy and quantization errors.

Core Advantages of the VR9150: Empowering AI to "See Clearly, Adapt Flexibly, and Deploy Seamlessly"

If AI is the "brain" of intelligent devices, then the VR9150 is the "eyes that understand the brain best" — it revolutionizes the intelligent perception experience with three core advantages:

Ultra-HD Perception: Empowering AI to "See Details Clearly and Never Miss Risks"

29% Ultra-High PDE: Even in low-light scenarios such as moonlight or tunnel entrances/exits, it can capture "photon-level" weak signals, addressing the pain point of traditional chips—"clear vision by day, blurred vision by night".

＜10ns Ultra-Fast Response: Data acquisition outpaces industry standards, enabling AI to access "real-time and up-to-date" spatial information and avoid decision-making errors caused by latency.

＞25K Pixels + 150° Wide-Angle: The 4:3 golden aspect ratio balances "details and panoramic view". It can clearly recognize hand gestures of pedestrians 100 meters away while covering blind spots on both sides of vehicles, ensuring "zero blind spots" for AI decision-making.

Multi-Scenario Adaptability: Enabling AI to "Navigate Thousands of Industries Without Changing Its 'Eyes'"

High Integration + High Precision: Making AI "Easy to Deploy Without Cost Escalation"

High Precision

Built-in special calibration circuits deliver a ranging accuracy of ±2 cm, meeting the requirements for safe distance judgment in autonomous driving and precise mapping for lawn mowers.

High Integration

Integrated DSP engine directly computes and outputs point cloud data without relying on external FPGA/SoC computing power, significantly reducing the load and cost of customers' main control devices.

Easy Adaptation

Compliant with the standard MIPI protocol, it allows flexible adjustment of frame data volume and image aspect ratio parameters, seamlessly interfacing with various computing platforms such as FPGAs and SOC domain controllers, and shortening the development cycle.

Scenario Deployment: From "Obstacle Avoidance" to "Prediction", the VR9150 Redefines Intelligent Experiences

The value of technology ultimately lies in scenario deployment. Today, with its exceptional perception capabilities, the VR9150 is turning more intelligent scenarios from "concepts" into "reality".

Equip Vehicles with a "Predictive Safety Shield"

The VR9150 provides core support for blind-spot compensation in autonomous driving: its 150° wide-angle coverage breaks through the field-of-view limitations of traditional sensors, capturing the surrounding environment of vehicles without blind spots. It can accurately identify pedestrians crossing the road, bicycles parked by the roadside, and sudden obstacles. What’s more, it is well-adapted to various lighting conditions such as strong light, backlight, and dim twilight, maintaining stable perception at all times. It enables autonomous driving to completely eliminate visual blind spots and environmental interference, further expanding the safety boundary.

Empower Robots to "Independently Navigate Complex Environments"

In robotics applications, the VR9150 enables high-precision environmental modeling, real-time obstacle avoidance, and path planning. It not only ensures continuous operation with low power consumption, but also enhances obstacle avoidance performance and operational stability.

Enable Drones to "Navigate Around the Clock Without Hassle"

In drone obstacle avoidance scenarios, the VR9150 demonstrates robust performance: it features ultra-high ranging accuracy to precisely locate obstacles; its long detection distance allows early perception of distant obstacles and reserves sufficient response time; it captures signals stably regardless of complex lighting conditions like strong or low light; it can even sensitively detect small objects such as tree branches and plastic bags. It builds a multi-dimensional defense line for obstacle avoidance, enabling drones to navigate safely in all kinds of environments.

Ensure Lawn Mowers "Stay Within Bounds and Never Miss a Spot"

Smart lawn mowers often suffer from "inaccurate boundary recognition", either mistakenly cutting flowers and plants in flower beds or missing weeds in corners. The VR9150’s boundary recognition and efficient mapping algorithm enable lawn mowers to accurately lock onto their "working areas" and maintain long-term stable operation.
Some may ask: What is the core objective of the VR9150? Our answer is: to become a leader in optical sensors by delivering "more precise perception and more reliable decision-making".
Core Vision Microelectronics’ product philosophy goes beyond building high-performance chips — we are committed to optimizing the practical implementation of intelligent perception through chip technology. Just as the leap from feature phones to smartphones was not about stacking parameters, but about "experience upgrading", the VR9150 is poised to provide core support for the experience upgrade of intelligent perception.
The development of the VR9150 is Core Vision Microelectronics’ response to the intelligent era. This is just the beginning. There will be more innovative breakthroughs in perception technology in the future. We look forward to collaborating with peers to make the "Internet of Everything" safer and better through more precise perception.