Internet-Based Smart Door Design of Things (IOT) with Visitor Access Controller Indoor
Bibliographic record
Abstract
In the era of digital technology, the Internet of Things (IoT) has become an innovative solution in various sectors, including in access management and room security. This research aims to design and implement an IoT-based smart door system that is able to control visitor access using NodeMCU ESP8266 and send notifications through the Telegram application. The system uses PIR sensors to detect the presence of visitors and servo motors to operate the door automatically. When the number of visitors reaches the maximum set capacity, the system will automatically close the door and send a warning notification to the Telegram bot and activate the buzzer as a warning sign. Thus, this system not only improves the safety and comfort of visitors, but also helps prevent the spread of diseases by limiting the number of visitors according to a safe capacity. The test results show that this smart door system can function well in controlling visitor access and providing real-time notifications when the room capacity is exceeded. The implementation of this system is expected to be applied in various public places to improve security management and visitor capacity effectively.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".