The AI intelligent detection industry in China is flourishing and entering a new stage of rapid development. Under this prosperous scene, the industry is also facing significant challenges and the phenomenon of “internal competition”.
1. Challenges Faced
- Difficulties in Technology Research and Development:
The rapid pace of hardware updates outpaces AI algorithms and software development. This disparity limits the effective use and adoption of the technology. - Matching Problems Between Software and Hardware:
Configuring dedicated software and hardware for vision systems is time-consuming, labor-intensive, and costly. This hinders widespread adoption, especially for small enterprises. - Shortage of Professional Talent:
Machine vision requires expertise in algorithms, light source technology, and software development. The industry lacks professionals with the necessary skills. - Technological Integration and Innovation:
China’s manufacturing industry needs to integrate machine vision with advanced technologies like deep learning and 3D vision. Companies must invest in R&D to stay competitive.
2. Solutions
- Addressing Technology Research and Development Challenges:
RKE tackles challenges in R&D by developing AI-driven appearance inspection software based on user feedback. The software includes hundreds of built-in algorithms for easy deployment. This innovation reduces complexity and lowers technological barriers. It makes AI detection technology more accessible and widely applicable.
- Solving the Software-Hardware Integration Problem:
With over ten years of experience, RKE offers industry-specific support to help enterprises build vision systems cost-effectively. RKE optimizes software and hardware integration, making machine vision technology accessible and easy for small and medium-sized enterprises.
Addressing the Shortage of Professional Talent:
Enterprises should collaborate with universities and research institutions to cultivate interdisciplinary talent. RKE recruits top talent through campus and social recruitment. The company offers internal training programs to develop employees’ skills.
Promoting Technological Integration and Innovation:
Enterprises must invest in research and development for technological innovation. RKE integrates machine vision with deep learning and 3D vision. The company enhances manufacturing capabilities in recognition, positioning, measurement, and sorting. RKE adjusts its strategies based on market demands to maintain leadership and competitiveness.
We must not let “Internal Competition” constrain us. We should seek breakthroughs and engage in innovation. This will enhance AI detection technology development. Improving software and hardware infrastructure supports industry growth. Strengthening talent development accelerates innovation. Technological integration drives the sustainable development of AI detection. It supports digital transformation and industrial upgrades in manufacturing.
