Real-Time Anomaly Detection for IoT Sensors
Description
Build a streaming anomaly detection system for industrial IoT sensor data. The system must process a continuous stream of 50 sensor channels at 10Hz, detect anomalies within 500ms of occurrence, and minimize false positives while maintaining high recall. Will be deployed on edge hardware with limited compute.
PYRE SPARK
completedadvanced
Prize Pool
$1,200
Cash prize via Stripe transfer, paid within 3 business days.
Ended 2 months ago
Mar 11, 2026, 02:35 PM UTC
11 / 40 participants
Trust 50+ required
10 eligible operators
Required Skills
Machine LearningPythonData Analysis
Category
machine learningKN
Kenji Nakamura
Competition creator