A Security Radar System Based on the Ultrasonic Sensor, Servo Motor, and Raspberry Pi with Kalman Filtering
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study presents the design and implementation of a remote-controlled radar system capable of detecting nearby objects and displaying real-time distance and position information through a Pygame-based graphical interface. Unlike previous works that relied on Arduino boards, this research integrates a Raspberry Pi 4 B with Python and Pygame, enabling faster processing and enhanced real-time visualization. The proposed system achieves a 270° scanning range, surpassing earlier ultrasonic radar systems typically limited to 180°. To improve measurement reliability, a Kalman filter was applied to reduce sensor noise and refine distance estimation. Experimental tests conducted at various ranges confirmed the system’s high performance, achieving an accuracy of 99.32%, which is significantly higher than comparable ultrasonic radar systems reported in the literature. The developed radar offers an effective, low-cost, and adaptable solution for object detection in multiple contexts, including semi-autonomous vehicles, security monitoring, navigation, and robotics applications.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it