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The hotel video surveillance system produces blurry images at night, making it impossible to effectively identify key areas.

Expert Q&ADavid Zhou · Low-voltage systems specialistUpdated 2026-05-04
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David Zhou
Low-voltage systems specialist

The hotel video surveillance system produces blurry images at night, making it impossible to effectively identify key areas.

As a hotel MEP expert, addressing the typical problem of "blurred night-time images in hotel video surveillance systems, where key areas cannot be effectively identified," I will provide a complete and detailed answer from four dimensions—cause analysis, standard reference, solutions, and rectification cases—based on current national standards (GB) and actual engineering cases.

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I. Core Cause Analysis (with GB Standards)

Blurred night-time images are usually not caused by a single factor but by a combination of four types of problems: insufficient illuminance, mismatched camera performance, installation defects, and improper back-end processing. Details are as follows:

1. Insufficient Illuminance (the most core cause):

2. Improper Camera Selection (H.265/4K ≠ Low Illuminance):
3. Design Defects in Infrared/White-Light Illumination:
4. Installation and Maintenance Issues:
5. Back-End Encoding and Transmission Loss:
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II. Standard References and Rectification Standards (Requirements by Area)

According to GB 50348-2018 Appendix A and GB 50016-2014 (2018 Edition)"Code for Fire Protection Design of Buildings" (involving fire linkage monitoring), the night-time image quality standards for key hotel areas are as follows:

| Area | Minimum Night-Time Illuminance Requirement | Minimum Camera Standard | Special Requirements |
|------|------------------|----------------|----------|
| Lobby/Front Desk | ≥50 Lux (or after fill light) | 2 MP, ultra-low illuminance (0.002 Lux), wide dynamic range ≥120 dB | Must clearly capture faces, banknotes, and ID document details |
| Corridor/Stairwell | ≥30 Lux (under emergency lighting) | 2 MP, starlight-level (0.001 Lux), infrared distance ≥30 m | No blind spots, clear personnel silhouettes |
| Parking Lot/Entrance & Exit | ≥100 Lux (license plate recognition area) | 5 MP, strong light suppression, strobe fill light | Night-time license plate recognition rate ≥95% |
| Elevator Car | ≥10 Lux (interior lighting) | 2 MP, wide angle (��100°), wide dynamic range | No distortion, clear view of all passengers' faces |
| Back Kitchen/Storage | ≥100 Lux (explosion-proof/moisture-proof) | 2 MP, IP67, anti-glare | Clear view of operation details (knives, ingredients) |

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III. Systematic Solutions (Step-by-Step Implementation)

Step 1: On-Site Illuminance Assessment and Fill Light Rectification


Step 2: Camera Hardware Upgrade (Selective Replacement)


Step 3: Installation and Commissioning Optimization


Step 4: Backend System Adjustment (Software/Storage)


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IV. Actual Rectification Case (A Chain Business Hotel)

Background: A mid-range chain hotel (200 guest rooms) found during nighttime surveillance playback that images in the lobby, corridors, and parking lot were blurry, making it impossible to identify guests' faces and vehicle license plates. The hotel had attempted to replace IR lamps but to no effect.

Diagnosis results:
1. The lobby illuminance was only 8 Lux, while the camera's minimum illumination was 0.1 Lux (color); the actual requirement is 0.002 Lux.
2. Corridor cameras were standard IR bullet cameras, and the IR lamp was offset by 15° from the lens angle, causing 30% of the right side of the image to be completely dark.
3. Parking lot cameras were standard dome cameras without strong light suppression, and license plates were completely white under vehicle headlight illumination.

Rectification plan (total budget approximately 80,000 RMB):

Post-rectification results:
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V. Preventive Maintenance Recommendations (Long-term Effective)

1. Once per month: Check the cleanliness of all camera protective housings; remove spider webs and dust.
2. Once per quarter: Use an illuminance meter to recheck the illuminance in key areas; if below standard (e.g., lobby <50 Lux), check whether luminaires are aging.
3. Once every six months: Update NVR firmware and check hard drive health status (SMART test) to prevent frame loss in recordings caused by bad sectors.
4. Once per year: Have a professional engineer conduct a comprehensive system diagnosis (including IR lamp attenuation testing and lens focal length calibration).

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Summary

To solve the problem of blurry nighttime hotel video surveillance, it is necessary to follow the GB 50348-2018 and GB 50198-2011 standards and systematically advance from the four dimensions of "fill light upgrade → hardware replacement → installation optimization → backend tuning". The most economical and effective approach is to prioritize solving the fill light problem (lowest cost), followed by replacing cameras. For key areas (lobby, front desk, parking lot), it is recommended to directly select black-light-level/starlight-level wide dynamic cameras and pair them with independent fill lights to ensure clear and identifiable images 24 hours a day.

Standard reference

GB 50348-2018GB/T 28181-2022GB 50198-2011GB 50016-2014

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