> For the complete documentation index, see [llms.txt](https://docs.didge.io/home/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.didge.io/home/ridgy-vision-ai/end-user/best-served-cold.md).

# Best Served Cold

***

### 1. Introduction

With Ridgy, compliance is as simple as taking a picture. Using vision AI, thermal imaging, and Bluetooth probes, the system extracts every critical food safety value automatically — no paperwork, no guesswork.

One image captures:

* Temperature checks
* Food classification
* Storage conditions
* Time-based compliance (2-hour / 4-hour rule)
* Visual hygiene indicators

The result: instant, verifiable compliance records that protect your customers, staff, and brand.

***

### 2. HACCP & Food Safety Context

Cold holding is a critical control point (CCP), especially in buffets, hotels, and restaurants where bulk food is on display and frequently replenished. The biggest risk is food entering the temperature danger zone (5–60 °C), where microorganisms and pathogens multiply rapidly.

***

### 3. Time as the Control Method

Once food leaves refrigeration, time becomes the control:

* Start point – Food must be ≤ 5 °C (cold) or ≥ 60 °C (hot) before service.
* Up to 2 hours in TDZ – Food may be returned to refrigeration.
* 2–4 hours in TDZ – Food may stay on display but must be discarded after 4 hours.
* \> 4 hours in TDZ – Food is unsafe and must be disposed of.

Ridgy applies this automatically by calculating 2-hour and 4-hour thresholds from the captured image.

***

### 4. Key Fields Captured by AI

* Food Identification – Item, classification, allergens, storage.
* Temperature & Time – Measured temp, start temp, submission time, 2/4-hour limits, max sale time.
* Measurement Method – Thermometer, FLIR, or probe.
* Visual Conditions – Hygiene, utensils, contamination cues.
* Service Periods – Breakfast, lunch, dinner.
* Image Reference – Proof of compliance.

***

### 5. Risk Mitigation & Data Integrity

Each submission captures 36 unique data points. Far from excessive, every point acts as a layer of protection:

* Compliance – Proves adherence to HACCP rules.
* Risk Mitigation – Detects breaches before they become incidents.
* Data Integrity – AI ensures objective, consistent capture.
* Brand Protection – Strong defense against complaints and audits.
* Consumer Trust – Customers know safety is backed by real evidence.

***

### 6. Decision Logic Summary

1. ≤ 5 °C → Safe, compliant.
2. \> 5 °C but < 60 °C → Time control applied:
   * < 2 hours: return eligible.
   * 2–4 hours: discard after 4 hours.
   * 4 hours: immediate discard.

***

### 7. Compliance Record Use

Ridgy turns every image into a compliance-ready digital record for:

* Food safety audits
* Regulatory reporting
* Training and accountability

<br>


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