SHENZHEN, China — March 17, 2026 — AlpsenTek, a pioneer in hybrid vision sensor technology, today announced the completion of a Series B+ financing round totaling hundreds of millions of yuan.
The round was jointly backed by BEIDM, Guangdong Finance Fund Management, GAC Capital, Circumference Capital, Changjiang Capital, Bluetrum, UNICC Capital, Zhichen Investment, Wofo Venture Capital, and Sunyes.
The new funding will support continued core technology development, large-scale product manufacturing, and global market expansion, accelerating the industrial adoption of next-generation AI vision sensing technologies.
The Growing Need for Real-Time Perception in Physical AI
As artificial intelligence moves beyond the digital world and increasingly interacts with the physical environment, real-time environmental perception is becoming a fundamental infrastructure for intelligent systems.
Traditional vision sensors, which rely on fixed-frame-rate image capture and full-pixel data acquisition, are gradually struggling to meet the emerging requirements of intelligent perception systems that demand high speed, low latency, and high dynamic range.
Hybrid Vision Sensing: A New Path for AI Machine Vision
AlpsenTek’s Hybrid Vision Sensor (HVS) technology introduces a new technical paradigm for machine vision systems.
The technology integrates frame-based image sensing and event-based sensing mechanisms on a single sensor chip, enabling devices to simultaneously capture both image information and brightness change signals within a scene. This provides AI systems with visual inputs that are both more efficient and more representative of real-world dynamics.
If traditional image sensors record “what the world looks like,” hybrid vision sensors capture both “what the world looks like” and “how the world is changing.”
Dual-Modality Perception for Next-Generation AI
Compared with vision systems that rely solely on frame-based images, hybrid vision sensors can detect scene changes with much higher temporal resolution while maintaining full image output capability.
This dual-modality perception approach allows AI systems to achieve more stable and efficient visual perception in high-speed motion, high dynamic range, and complex lighting environments.
For rapidly developing AI applications—including robotics, autonomous driving, and intelligent devices—machines must not only see two-dimensional image details, spatial structure, and color, but also understand how environments evolve over time.
By introducing the temporal dimension alongside traditional visual information, hybrid vision sensors enable machines to more effectively perceive object motion, interactions, and environmental changes, significantly enhancing a system’s ability to understand the real world.
Reducing Data Redundancy for Efficient Edge AI
At the same time, traditional visual systems generate large amounts of redundant data during video capture, requiring substantial computational resources for processing.
Hybrid vision sensors adopt an event-driven sensing mechanism, outputting key information only when changes occur in a scene. This reduces redundant data generation at the source and provides more efficient data input for edge AI systems.
In the AI era, vision sensors are evolving from simple imaging devices into core interfaces through which machines perceive and understand the physical world.
CEO Perspective
Deng Jian, founder and CEO of AlpsenTek, said the rapid transition of AI from digital environments into the real world is reshaping the role of perception technologies.
“Artificial intelligence is rapidly moving from digital space into the real world,” Deng said. “Future AI systems—whether robots, intelligent devices, or automated systems—will require continuous, real-time perception of the physical environment. Hybrid vision sensors were developed to meet this demand. By simultaneously providing image information and motion-change data, we aim to build a more efficient visual perception foundation for the next generation of intelligent systems.”
Building a Hybrid Vision Product Ecosystem
As a key innovator in hybrid vision technology, AlpsenTek has established a complete proprietary technology stack spanning pixel architecture, chip design, and vision algorithms, and has been among the first globally to achieve large-scale production of hybrid vision sensors.
In 2025, the company introduced the APX014 (ALPIX-Pizol) hybrid vision sensor designed for edge AI perception applications, along with the APX002 (ALPIX-Maloja) pure event-based vision sensor.
Together with the previously released APX003 series and APX004 series, the company has formed a growing product portfolio targeting applications across robotics, consumer drones, wearables, smart home devices, automotive electronics, and consumer electronics.
Accelerating Industry Adoption
AlpsenTek is currently collaborating with several leading global technology companies to advance the large-scale adoption of hybrid vision sensors in intelligent devices and AI systems.
Deng said the company is entering a stage of acceleration as AI vision technologies move toward mass deployment.
“We are now at a pivotal moment for AI vision technologies to move into large-scale applications,” Deng said. “Over the next decade, countless intelligent systems will enter the real world, and visual perception will be one of their most fundamental technologies. Our goal is to make hybrid vision sensors one of the key perception interfaces for next-generation intelligent devices.”
As AI and intelligent hardware continue to evolve, new visual perception technologies are entering an unprecedented phase of opportunity. AlpsenTek said it will continue advancing core technological innovation and product commercialization to expand hybrid vision sensing into more real-world applications.
In an era where AI is moving into the physical world, machines must first learn to see the world—and see its changes—efficiently.
