¶ No Scan (Unregistered Movement) – EASiNOP
¶ What is EASiNOP?
EASiNOP is an intelligent video-based audit system designed to help stores identify potential losses at the checkout by analyzing situations in which a product:
👉 physically passes through the checkout
👉 but does not appear on the sales receipt
It acts as an additional control layer at the point of sale, providing objective visibility for management and loss prevention teams, without interfering with POS operations.
¶ What the system delivers to the store
With EASiNOP, the store gains:
- ✅ Automatic alerts for potential Unregistered Movements (No Scan)
- ✅ Detailed history by checkout, operator, date, and time
- ✅ Greater focus on prevention, highlighting where investigation is truly needed
- ✅ Management support, based on objective data and video evidence
📌 The system does not replace management or the operator — it provides clear information to support decision-making.
¶ How it works (simple overview)
EASiNOP compares two data sources simultaneously:
- 🎥 Actual hand and product movements, captured by cameras
- 🧾 Sales system records (receipt data)
Whenever the system detects a physical product exit movement but does not find a corresponding item registered on the receipt, it generates an alert for a potential Unregistered Movement (NOP / No Scan).
¶ How the system “sees” the checkout
Operation is based on two clearly defined areas in the video, configured according to each POS layout:
¶ 1️⃣ Scanning Area (P1)
The area where the operator scans the product for registration at the checkout.
¶ 2️⃣ Delivery / Exit Area (P2)
The area where the product is placed after registration, usually toward the customer.
📌 Basic detection logic:
If a product moves from the Scanning Area (P1) to the Delivery Area (P2) without being registered on the receipt, the system generates an alert.
¶ ⚠️ Current Detection Rule (Very Important)
Currently, EASiNOP performs detection based on the SALES RECEIPT.
This means:
- There is only one Unregistered Movement alert per receipt
- Even if multiple irregular movements occur during the same transaction,
the system consolidates them into a single alert
📌 This model was intentionally adopted to:
- Ensure accuracy
- Avoid excessive duplicate alerts (noise)
- Simplify analysis for store teams
🔧 Future enhancements may expand this logic,
but the current operating standard is: 1 alert per receipt.
¶ 🚨 Important conditions for proper operation
To ensure the analysis accurately reflects real operations, certain conditions must be met.
¶ Prerequisites
- ✅ An open receipt must exist at the moment of the movement
- ✅ The system considers a real, active sale
- ✅ Only one No Scan event is evaluated per receipt
¶ Operational points of attention
- The checkout operating method directly affects detection
- Movements such as wiping the counter, handling bags, or objects crossing areas while the receipt is open may be detected
- Tests performed with canceled receipts do not represent real system behavior
📌 These scenarios do not indicate system failure, but rather operational conditions that influence video-based detection.
¶ What is considered NORMAL behavior
In video analytics systems, some behaviors are expected:
- ℹ️ Occasional false positives, especially during atypical movements
- ℹ️ Operator changes may temporarily affect movement patterns
- ℹ️ Poorly adjusted detection areas may generate unintended alerts
✅ These issues are typically resolved through:
- Fine-tuning detection areas
- Minor calibrations
- Monitoring real store usage
¶ Conclusion
No Scan – EASiNOP is a prevention and audit tool, designed to support checkout operations with clear, objective, and auditable data.
It does not accuse, does not interfere, and does not block sales —
it observes, records, and informs, enabling management to act based on facts and evidence.