AI that watches everything — and tells you when it matters.
Always-on AI monitoring cameras, sensors and data streams. Safety violations, defects, intrusions and failure precursors flagged the moment they happen — with the frame, label and written reason.
Why anomaly detection beats more cameras.
Humans don't watch live feeds. Nobody can. Security teams check footage after something happens — after the safety incident, after the break-in, after the defective batch shipped. Anomaly detection collapses that gap to seconds. The AI watches every camera, every sensor, every transaction stream simultaneously, all the time, and only interrupts a human when something needs a human's attention.
The economics are obvious. A single trained operator can supervise hundreds of feeds with AI doing the watching. Insurance premiums drop. Incidents are caught early. Recall events shrink from production-batch to single-unit scale. The system pays for itself within a quarter on most deployments.
What our anomaly systems do.
- Safety & PPE compliance. Hard-hats, hi-vis, restricted zones, unsafe acts — flagged the moment they happen.
- Defect & off-spec detection. Catch defective items at the line, before shipping or recall.
- Intrusion & perimeter monitoring. After-hours activity, abandoned objects, tailgating, unusual movement patterns.
- Equipment failure precursors. Vibration, temperature, current and acoustic anomalies pointing to imminent failure.
- Transaction & fraud anomalies. Unusual patterns in payments, logins, withdrawals or API traffic.
- Annotated alerts. Every alert ships with the frame, the label, the confidence and a written reason — never just a raw signal.
Where anomaly detection shines.
Construction & industrial
PPE compliance, restricted-zone breaches, vehicle & equipment safety, unauthorised access — catch incidents before they escalate.
Manufacturing
In-line defect detection, equipment vibration anomalies, off-spec output and quality drift caught before batch-scale damage.
Retail & loss prevention
After-hours intrusion, shoplifting patterns, abandoned items, and unusual queue behaviour flagged for live response.
Warehousing & logistics
Forklift safety, dock-door tailgating, dropped packages, and shift compliance audits across multi-site operations.
Critical infrastructure
Perimeter monitoring, equipment health, environmental anomalies, and access compliance for regulated sites.
Financial services
Transaction-pattern anomalies, login behaviour, API abuse and fraud signals flagged in real time for the SOC.
How BaigOps builds an anomaly system.
1. Define normal (week 1)
We map exactly what counts as normal and abnormal — by zone, by shift, by camera, by sensor. Vague definitions produce vague alerts.
2. Baseline & data collection (week 1–2)
We capture a representative slice of normal operation from your environment, label edge cases with your team, and build a held-out evaluation set.
3. Model selection (week 2–3)
Object detection (YOLOv8), zero-shot vision, classical statistical models, or sensor-fusion models — chosen for your latency, accuracy and explainability bar.
4. Alert pipeline (week 3–4)
Detection → annotation → routing → human review. We wire alerts into SMS, Slack, PagerDuty, or your incident system, and build the operator dashboards.
5. Quiet period & calibration (week 4)
The system runs in shadow mode first. We measure false-positive rate, tune thresholds, and only flip alerts live once the operator team is confident.
6. Maintain
Environments change. We monitor drift, retrain on new conditions, and add new anomaly classes as your needs evolve.
Frequently asked questions.
What is AI anomaly detection?
AI anomaly detection uses machine learning to continuously watch a stream of data — cameras, sensors, transactions, logs — and automatically flag anything that doesn't match the expected pattern.
Can it watch my existing CCTV?
Yes. We integrate with RTSP, ONVIF and most IP camera systems without replacing hardware.
What can it detect?
PPE violations, restricted-zone breaches, unsafe acts, manufacturing defects, intrusions, abandoned objects, equipment failure precursors, unusual transaction patterns and fraud signals.
How are alerts delivered?
Configurable: SMS, email, Slack, Teams, PagerDuty, or webhook to your incident system. Every alert includes the frame, label, confidence score and a written reason.
How are false positives controlled?
We calibrate on your environment and run a quiet period before alerts go live. False-positive rates are measured and reported, and operators can tune thresholds per zone or shift.
Stop catching incidents after they happen.
A 30-minute call with a principal engineer. We scope your anomaly system and quote it in writing within a week.
Book a strategy call →