Texas Instruments had seven patents in internet of things during Q2 2024. Texas Instruments Inc filed patents in Q2 2024 for an IC manufacturing system with automated eOCAP, an apparatus with power-saving sleep modes for light modulation, a method for concurrent execution of multiple protocols using a single radio, and a circuit with control and logic circuits for transistor operation. GlobalData’s report on Texas Instruments gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Texas Instruments had no grants in internet of things as a theme in Q2 2024.
Recent Patents
Application: Automated ocap interfacing system and method (Patent ID: US20240213063A1)
The patent filed by Texas Instruments Inc. describes an IC manufacturing system that utilizes a capture engine to monitor operator interactions with a manufacturing tool. This system facilitates an automated electronic out-of-control action plan (eOCAP) scheme in conjunction with a network-hosted server platform. The method involves processing semiconductor wafers, capturing user interactions, interrogating an event database, generating notifications to a server, and adjusting process parameters based on the disposition action triggered by the eOCAP module. The system is designed to work with various process steps in IC fabrication, such as attaching packaged integrated circuits, plasma etching, exposing photoresist layers, and chemical mechanical polishing.
Furthermore, the apparatus described in the patent includes a manufacturing tool, a computer platform integrated with the tool, and a script-based capture engine to capture user interactions. The system is capable of adjusting process parameters based on the disposition action determined by the eOCAP module. The manufacturing tool can communicate with a networked host using a protocol other than the SEMI Equipment Communications Standard (SECS)/Generic Equipment Model (GEM) communication protocol. The user interactions can involve selecting menu options using various input devices, and the script-based capture engine is configured based on scripting languages like JavaScript, Python, Perl, Ruby, Lua, and Bash.
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