PeopleSense Data Lake

Turning Real-Time Signals into Actionable Crowd Intelligence

From noisy signals to reliable insights

Sensors and adapters produce noisy, overlapping data. The real challenge is reconciling these streams into usable people-counts and forecasts quickly enough to act. The PeopleSense Data Lake provides the processing, intelligence, and governance needed to make those signals operational.

Calibrated proxy-counts — multi-source fusion

Real-time alerts & historical replay for training

Continuous ingestion from edge devices & enterprise APIs

- Core Capabilities -

Unified Ingestion

Edge → cloud pipelines for Bluetooth, Wi-Fi, AFC, camera telemetry, cellular probes, and custom adapters.

Adaptive Calibration

Cross-source calibration converts signals to proxy people-counts, adjusting for device mix and environment.

Scalable Storage & Processing

Cloud-native storage (S3/Blob), streaming pipelines (Kinesis/PubSub), and serverless compute to handle high burst traffic.

Forecasting & Anomaly Detection

Time-series forecasting, surge prediction, and anomaly detection for proactive operations.

AI-Powered Signal Selection

Models that choose what to keep, sample, or discard to minimize cost while preserving accuracy.

Alerts & API-Driven Actions

Real-time triggers (CAP / webhook) and APIs for dashboards, operations, and emergency workflows.

- ML & AI CAPABILITIES -

Forecasting

Time-series for short-term surge prediction and daily/seasonal trend forecasts. Supports event-aware forecasting.

Classification & Imputation

Classifiers to infer flow direction and crowd type; imputation models to fill gaps when sensors dropout or connectivity fails.

Cost-Aware Sampling (AI)

Reinforcement-learning style policies and heuristic models decide which adapters or records to keep — optimizing cloud cost vs accuracy.

Anomaly & Alerts

Online anomaly detectors trigger CAP-compliant alerts and recommended mitigation steps (e.g., redirect, open gates, call staff).

- Tech Stack -

Earthquake Early Warning & Impact Layers

In collaboration with USGS feeds, the Data Lake ingests real-time EEW events and overlays MMI/impact zones on maps. Simulate historical quakes and train inspection/emergency workflows using replayed data.