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Interview | "1+2+N³": Decoding Sunny OIT's Robotic Vision Strategy

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Dec. 09, 2022

As a critical frontier in artificial intelligence, the global machine vision industry has matured amid ongoing technological and industrial revolutions. While international markets experience steady growth, China's machine vision sector is entering a rapid development phase, driven by favorable policies and market dynamics. China is emerging as one of the most dynamic regions in global machine vision.

Amid deepening industry focus on machine vision, Sunny OIT innovatively proposed the concept of "robotic vision" aligned with its product system and strategic direction, marking a key area of focus for the company's growth.

Recently, OFweek interviewed Luke Zhou, Marketing Director of Sunny OIT, a subsidiary of Sunny Group, to explore Sunny OIT's development roadmap in robotic vision and gain insights into future industry trends.

The "Robotic Vision" Concept and the "1+2+N³" Strategy

What Defines "Robotic Vision"?

Luke Zhou explains: "From a broad perspective, we prefer to deconstruct 'robotics' into 'machine and human' or 'machine plus human,' expanding the conceptual boundaries of robotics to better align with Sunny's consumer business DNA. Narrowly defined, robotic vision addresses the question: After smartphones and automobiles, what will be the next trillion-dollar consumer market? Robotics offers a compelling vision."

As a robotic vision system solutions provider, Sunny OIT launched the "1+2+N³" robotic vision strategy to drive business growth. Here's the breakdown:

Alternatively, "2" also highlights two core application domains: recognition (e.g., facial/object/posture recognition) and positioning (e.g., spatial mapping, autonomous navigation, obstacle avoidance).

These align with the evolution from imaging → perception → interaction, and further represent three interaction modes: human-machine, machine-to-machine, and object-machine.

Guided by this strategy, Sunny OIT is expanding its business footprint across sectors.

From Technical Excellence to Mass Production

Sunny OIT's market leadership stems from its technical prowess. Over a decade ago, the company established a 3D vision team, gaining early-mover advantages through R&D projects covering binocular, structured light, and TOF (Time-of-Flight) technologies. This enables tailored solutions for diverse client needs.

The company has also built a multi-sensor fusion technology team, advancing from algorithms to productization and scenario-based applications. Supported by its smart manufacturing plant, Sunny OIT ensures stable mass production capabilities, securing supply chains and fostering client partnerships.

Expanding Applications: From Households to Industries

Sunny OIT dominates the robotic vacuum cleaner market with over 50% market share. Its vision solutions also power service robots such as delivery, cleaning, and reception robots, leveraging shared technical architectures.

Looking ahead, Sunny OIT aims beyond household convenience. "We envision robots as true family members through advanced human-machine interaction," Luke states. This vision drives its entry into smart homes, exemplified by a facial recognition-integrated visual module for the mass smart lock market.

While consumer markets remain central, Sunny OIT is also making strides in industrial applications. Recently, it launched a weld seam tracking sensor—a 3D camera engineered with optical design and simulation capabilities to withstand extreme conditions like high temperatures, intense light, and arcing. This innovation marks a milestone in industrial robotics.

By applying consumer-grade innovation to industrial products, Sunny OIT delivers cost-effective solutions that maximize ROI for clients.

Visionary Outlook

Sunny OIT believes robots will eventually become as ubiquitous as smartphones and automobiles. By pioneering the "robotic vision" concept, the company embraces its role as an industry leader, committed to technological innovation and value creation in smart optics.

"We are not just following trends—we aim to shape the future of human-machine coexistence," Luke concludes.


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