Value Delivered
The prior art search uncovered highly relevant prior art that conventional patent-search methods missed. Instead of relying solely on keyword-based searches, citation mapping, inventor tracking, or assignee portfolio analysis, the search leveraged Locarno design classifications, which organize prior art by product design rather than inconsistent terminology.
This enabled the identification of prior art relating to the concealed visor mechanism, particularly the internal supporter, moving groove, mover, and sub-visor connection, which are rarely described explicitly in public literature. As a result, the client gained stronger evidence for evaluating the novelty and validity of the design patent, while also learning a repeatable search strategy that can be applied to future design patent matters involving hidden structural features.
Problem Solved
The challenge was finding prior art for a rotary visor mechanism involving a specific combination of structural elements:
- A base part fixed to a helmet body.
- Moving grooves or guides for positional adjustment.
- Appendages from the visor support part extending into the guides.
- Controlled rotary movement of the visor through this mechanism.
The initial search methods did not produce Tier-1 results. Keyword and terminology searches failed because inventors may describe similar structures using different words. Citation mapping, inventor tracking, and assignee portfolio analysis also did not reveal relevant overlaps.
The main challenge was semantic variation. Different references could describe similar physical designs using inconsistent terminology, making traditional text-based searching ineffective.
Solution Offered
The research team changed the search strategy from terminology-based searching to design-based classification searching.
Instead of relying on keywords such as visor, shield, or helmet mechanism, the team used the Locarno Classification system, which categorizes designs by physical appearance and structure.
The approach focused on:
- Identifying the relevant design category for helmet and visor structures.
- Searching classifications based on physical design similarities.
- Reducing the impact of unpredictable terminology used by different inventors.
The case demonstrated that when standard keyword searches fail, classification-based approaches can provide structural certainty and uncover prior-art opportunities that text-based methods miss.
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