R&DJourney
Exploration & Experimentation
Starting from scratch — identifying problems, researching, and building the team
Team Formation
Identifying industry pain points, we assembled a team determined to solve real-world problems. A group of young dreamers embarked on this extraordinary journey.
In-Depth Research
Conducted in-depth research at OEM factories and component suppliers to understand the industry landscape and technical bottlenecks.
Independent R&D (Mechanical)
Team members tackled the mechanical design head-on, beginning independent R&D of the mechanical system — the critical first step from zero to one.
Supplier Challenges
Multiple part defects from suppliers made assembly impossible, exposing significant supply chain management challenges.
Design Challenges
Faced mismatched signal wiring and misaligned baffles; the team confronted each difficulty head-on and resolved them one by one.
Breakthrough & Advances
Overcoming technical hurdles — dual breakthroughs in mechanics and software
Circuitry Resolved
Under Youshi's guidance, the team conducted in-depth research on mechanical-electrical connections, finally resolving the circuitry issues that had long plagued the project.
Finding New Suppliers
Adopted physical prototyping and custom machining to re-source suppliers, ensuring component precision met specifications.
R&D Success (Mechanical)
After 11 months of mechanical equipment research and iterative design of 65 sheet metal components, the mechanical system was successfully developed — the team's first milestone victory.
Testing Success
Completed over 50 fabric-feeding tests and circuit roller operation tests on the production floor, laying a solid foundation for subsequent software development.
Independent R&D (Software)
The team officially launched independent R&D, focusing on AI vision system development — a new chapter from mechanics to intelligence.
Refinement & Maturity
Striving for excellence — bringing AI visual inspection to the production line and to the world
Software Challenges
Encountered high miss rates in the AI model and image display failures; the AI vision system faced a severe test transitioning from theory to practice.
Seeking Mentorship
Professor Tian analyzed the AI model logic for the equipment, guided the development direction, and showed the team the way forward.
R&D Success
After 11 months of R&D training, the team launched an AI model-based visual inspection system — technology moving from blueprints to product.
Independent Testing
Conducted 10 days of product testing in the workshop, discovering frequent false triggers; the team responded swiftly to investigate.
Root Cause Found
Discovered signal interference; installed shielding at the signal points, and the problem was resolved immediately.
Field Testing
Conducted field trials at Huizhou Bairuifeng Industrial Co., Ltd.; the equipment performed exceptionally well and received outstanding client feedback — the highest recognition of the team's three-plus years of hard work.