GDPR-Compliant Video Surveillance: Best Practices Today

Learn best practices for GDPR-compliant video surveillance. Ensure personal data safety, meet EU rules, and protect your video security system.

GDPR-Compliant Video Surveillance: Best Practices Today
Written by TechnoLynx Published on 14 Jul 2025

Understanding GDPR and Video Surveillance

The General Data Protection Regulation (GDPR) is a key privacy law in the European Union (EU). It affects any organisation that handles the personal data of EU citizens.

This includes video surveillance systems. Any footage that shows a person’s face or other identifiable traits counts as personal data. These images fall under GDPR.

If you use surveillance cameras for your business, you must follow this law. Even if your company is not in the EU, the law still applies if your goods or services reach EU citizens. The goal of GDPR is to protect people’s rights and ensure that data security is maintained.

When using a video surveillance system, you must think about privacy. It’s not enough to record and store footage. You must also make sure that your cameras do not record more than necessary. Best practices include setting limits on what you record and for how long.

Read more: Real-Time Data Streaming with AI

Best Practices for GDPR Compliance

One of the first steps is to perform a data protection impact assessment. This helps identify any risks linked to video surveillance. It also shows what can be done to reduce those risks.

The system must be justified. You must have a clear reason for recording. For example, recording for security is valid, but spying on employees without reason is not.

The use of security cameras must also be proportional. Don’t install more cameras than you need. Avoid placing cameras in areas like toilets or private meeting rooms. That would be a breach of privacy.

Transparency is key. Let people know that they are being recorded. Signs should be clear, easy to read, and placed at camera entrances. The signs should also state why you are recording, who is in charge, and how people can contact your data protection officer.

Access to the footage must be limited. Only those who need the video for work purposes should see it. All footage must be stored safely. You must use strong passwords, encryption, and secure storage systems.

Personal Data and the Role of the Data Protection Officer

GDPR requires organisations that carry out regular surveillance to appoint a data protection officer. This person makes sure the rules are followed. They also help staff understand how to protect personal data.

Footage from a surveillance camera often includes personally identifiable information. That means faces, number plates, or other visible data that could identify someone. If that data is handled poorly, it can result in fines or legal action.

The data protection officer’s job is to make sure this doesn’t happen. They also handle requests from people who want to see the data recorded about them. Under GDPR, EU citizens can ask to see any personal data you hold, including video footage.

Read more: XR: The Future of Immersion

Security Cameras and Storage of Footage

When using video surveillance systems, you must think about how you store the video. GDPR states that data must be kept only for as long as needed.

You should set a clear policy on how long footage is kept. In most cases, 30 days is enough. After that, delete it unless there is a valid reason to keep it longer.

Storage must be safe. Servers or drives used to store the footage must be protected with access controls and encryption. If you use cloud storage, the provider must also follow GDPR rules.

You must also think about what happens if someone hacks the system. In case of a data breach, you must report it. This must happen within 72 hours of finding the issue. That is why strong data security measures are important.

Handling Data in Real Time

Real-time surveillance brings its own challenges. Since the video is being captured and possibly viewed at the same moment, it’s vital to control who sees the footage. Screens should not be in open areas. Only trained staff should watch the feed.

The GDPR applies here too. Even if the footage is not stored, the fact that it shows personal data means it must be protected. Make sure you have logs that show who accessed the footage and when. This creates accountability.

You must also make sure that surveillance cameras do not record sound unless there is a legal reason. Audio data is even more sensitive. Most uses do not justify it under GDPR.

Read more: AI-Powered Video Surveillance for Incident Detection

Surveillance in the Workplace

Workplaces must be very careful when using video surveillance. This includes offices, factories, warehouses, and stores. Monitoring staff can only happen if it is clearly justified. For example, to protect goods or monitor entry points.

You must not use video to check on staff during breaks or in private areas. That would breach their rights under GDPR. Any recording must be minimal, and staff must be informed. They should know why they are being recorded, where the cameras are, and what happens to the footage.

In the human resources context, using video data for job reviews or staff checks must be done with caution. You must ensure that the video was recorded lawfully and that using it for such checks is fair.

Selling Goods or Services Across Borders

Many companies sell products or services across countries. If your surveillance system records anyone in the EU, GDPR applies. Even companies outside the EU must comply if they monitor or store personal data from EU citizens.

This rule affects online and physical stores, delivery services, or any company with EU-based customers. All video footage that includes EU citizens must be handled according to GDPR rules. That includes having clear policies, limited access, and proper storage methods.

If you use cameras to manage customer queues or count people in a shop, that still counts as personal data. Even if people are not fully identifiable, the rules apply.

Read more: AI Anomaly Detection for RF in Emergency Response

Why GDPR Matters for Small Businesses Too

Some small business owners think GDPR only applies to large companies. This is not true. If you record personal data, even with one camera, you must follow the law.

Small businesses must do the same checks as big ones. This includes doing a risk check, being clear with customers, and protecting the footage. GDPR is about fairness and respect, not company size.

The good news is that following best practices keeps your business safe from fines and improves trust. When people know their data is safe, they are more likely to trust your company.

How TechnoLynx Can Help

TechnoLynx offers help to set up GDPR-compliant video surveillance solutions. We help businesses choose the right setup, place the cameras properly, and protect personal data.

We also help you write clear policies. These explain how long you store footage, who can see it, and what your staff must do. If needed, we support the work of your data protection officer with advice and tools.

We test your current system and find weak spots. If your storage is not secure or your staff are not trained, we offer solutions. We also help with signage, consent forms, and response plans for data requests.

TechnoLynx supports companies of all sizes, including small businesses. Our solutions are designed to help you stay safe, legal, and trusted. With GDPR rules in place, having expert help gives peace of mind.

Contact TechnoLynx today to improve your video surveillance system!

Image credits: Freepik

AI-Driven Opportunities for Smarter Problem Solving

AI-Driven Opportunities for Smarter Problem Solving

5/08/2025

AI-driven problem-solving opens new paths for complex issues. Learn how machine learning and real-time analysis enhance strategies.

10 Applications of Computer Vision in Autonomous Vehicles

10 Applications of Computer Vision in Autonomous Vehicles

4/08/2025

Learn 10 real world applications of computer vision in autonomous vehicles. Discover object detection, deep learning model use, safety features and real time video handling.

How AI Is Transforming Wall Street Fast

How AI Is Transforming Wall Street Fast

1/08/2025

Discover how artificial intelligence and natural language processing with large language models, deep learning, neural networks, and real-time data are reshaping trading, analysis, and decision support on Wall Street.

How AI Transforms Communication: Key Benefits in Action

How AI Transforms Communication: Key Benefits in Action

31/07/2025

How AI transforms communication: body language, eye contact, natural languages. Top benefits explained. TechnoLynx guides real‑time communication with large language models.

Top UX Design Principles for Augmented Reality Development

Top UX Design Principles for Augmented Reality Development

30/07/2025

Learn key augmented reality UX design principles to improve visual design, interaction design, and user experience in AR apps and mobile experiences.

AI Meets Operations Research in Data Analytics

AI Meets Operations Research in Data Analytics

29/07/2025

AI in operations research blends data analytics and computer science to solve problems in supply chain, logistics, and optimisation for smarter, efficient systems.

Generative AI Security Risks and Best Practice Measures

Generative AI Security Risks and Best Practice Measures

28/07/2025

Generative AI security risks explained by TechnoLynx. Covers generative AI model vulnerabilities, mitigation steps, mitigation & best practices, training data risks, customer service use, learned models, and how to secure generative AI tools.

Best Lightweight Vision Models for Real‑World Use

Best Lightweight Vision Models for Real‑World Use

25/07/2025

Discover efficient lightweight computer vision models that balance speed and accuracy for object detection, inventory management, optical character recognition and autonomous vehicles.

Image Recognition: Definition, Algorithms & Uses

Image Recognition: Definition, Algorithms & Uses

24/07/2025

Discover how AI-powered image recognition works, from training data and algorithms to real-world uses in medical imaging, facial recognition, and computer vision applications.

AI in Cloud Computing: Boosting Power and Security

AI in Cloud Computing: Boosting Power and Security

23/07/2025

Discover how artificial intelligence boosts cloud computing while cutting costs and improving cloud security on platforms.

 AI, AR, and Computer Vision in Real Life

AI, AR, and Computer Vision in Real Life

22/07/2025

Learn how computer vision, AI, and AR work together in real-world applications, from assembly lines to social media, using deep learning and object detection.

Real-Time Computer Vision for Live Streaming

Real-Time Computer Vision for Live Streaming

21/07/2025

Understand how real-time computer vision transforms live streaming through object detection, OCR, deep learning models, and fast image processing.

3D Visual Computing in Modern Tech Systems

18/07/2025

Understand how 3D visual computing, 3D printing, and virtual reality transform digital experiences using real-time rendering, computer graphics, and realistic 3D models.

Creating AR Experiences with Computer Vision

17/07/2025

Learn how computer vision and AR combine through deep learning models, image processing, and AI to create real-world applications with real-time video.

Machine Learning and AI in Communication Systems

16/07/2025

Learn how AI and machine learning improve communication. From facial expressions to social media, discover practical applications in modern networks.

The Role of Visual Evidence in Aviation Compliance

15/07/2025

Learn how visual evidence supports audit trails in aviation. Ensure compliance across operations in the United States and stay ahead of aviation standards.

Next-Gen Chatbots for Immersive Customer Interaction

11/07/2025

Learn how chatbots and immersive portals enhance customer interaction and customer experience in real time across multiple channels for better support.

Real-Time Edge Processing with GPU Acceleration

10/07/2025

Learn how GPU acceleration and mobile hardware enable real-time processing in edge devices, boosting AI and graphics performance at the edge.

AI Visual Computing Simplifies Airworthiness Certification

9/07/2025

Learn how visual computing and AI streamline airworthiness certification. Understand type design, production certificate, and condition for safe flight for airworthy aircraft.

Real-Time Data Analytics for Smarter Flight Paths

8/07/2025

See how real-time data analytics is improving flight paths, reducing emissions, and enhancing data-driven aviation decisions with video conferencing support.

AI-Powered Compliance for Aviation Standards

7/07/2025

Discover how AI streamlines automated aviation compliance with EASA, FAA, and GDPR standards—ensuring data protection, integrity, confidentiality, and aviation data privacy in the EU and United States.

AI Anomaly Detection for RF in Emergency Response

4/07/2025

Learn how AI-driven anomaly detection secures RF communications for real-time emergency response. Discover deep learning, time series data, RF anomaly detection, and satellite communications.

AI-Powered Video Surveillance for Incident Detection

3/07/2025

Learn how AI-powered video surveillance with incident detection, real-time alerts, high-resolution footage, GDPR-compliant CCTV, and cloud storage is reshaping security.

Artificial Intelligence on Air Traffic Control

24/06/2025

Learn how artificial intelligence improves air traffic control with neural network decision support, deep learning, and real-time data processing for safer skies.

5 Ways AI Helps Fuel Efficiency in Aviation

11/06/2025

Learn how AI improves fuel efficiency in aviation. From reducing fuel use to lowering emissions, see 5 real-world use cases helping the industry.

AI in Aviation: Boosting Flight Safety Standards

10/06/2025

Learn how AI is helping improve aviation safety. See how airlines in the United States use AI to monitor flights, predict problems, and support pilots.

IoT Cybersecurity: Safeguarding against Cyber Threats

6/06/2025

Explore how IoT cybersecurity fortifies defences against threats in smart devices, supply chains, and industrial systems using AI and cloud computing.

Large Language Models Transforming Telecommunications

5/06/2025

Discover how large language models are enhancing telecommunications through natural language processing, neural networks, and transformer models.

Real-Time AI and Streaming Data in Telecom

4/06/2025

Discover how real-time AI and streaming data are transforming the telecommunications industry, enabling smarter networks, improved services, and efficient operations.

AI in Aviation Maintenance: Smarter Skies Ahead

3/06/2025

Learn how AI is transforming aviation maintenance. From routine checks to predictive fixes, see how AI supports all types of maintenance activities.

AI-Powered Computer Vision Enhances Airport Safety

2/06/2025

Learn how AI-powered computer vision improves airport safety through object detection, tracking, and real-time analysis, ensuring secure and efficient operations.

Fundamentals of Computer Vision: A Beginner's Guide

30/05/2025

Learn the basics of computer vision, including object detection, convolutional neural networks, and real-time video analysis, and how they apply to real-world problems.

Computer Vision in Smart Video Surveillance powered by AI

29/05/2025

Learn how AI and computer vision improve video surveillance with object detection, real-time tracking, and remote access for enhanced security.

Generative AI Tools in Modern Video Game Creation

28/05/2025

Learn how generative AI, machine learning models, and neural networks transform content creation in video game development through real-time image generation, fine-tuning, and large language models.

Artificial Intelligence in Supply Chain Management

27/05/2025

Learn how artificial intelligence transforms supply chain management with real-time insights, cost reduction, and improved customer service.

Content-based image retrieval with Computer Vision

26/05/2025

Learn how content-based image retrieval uses computer vision, deep learning models, and feature extraction to find similar images in vast digital collections.

What is Feature Extraction for Computer Vision?

23/05/2025

Discover how feature extraction and image processing power computer vision tasks—from medical imaging and driving cars to social media filters and object tracking.

Machine Vision vs Computer Vision: Key Differences

22/05/2025

Learn the differences between machine vision and computer vision—hardware, software, and applications in automation, autonomous vehicles, and more.

Computer Vision in Self-Driving Cars: Key Applications

21/05/2025

Discover how computer vision and deep learning power self-driving cars—object detection, tracking, traffic sign recognition, and more.

Machine Learning and AI in Modern Computer Science

20/05/2025

Discover how computer science drives artificial intelligence and machine learning—from neural networks to NLP, computer vision, and real-world applications. Learn how TechnoLynx can guide your AI journey.

Real-Time Data Streaming with AI

19/05/2025

You have surely heard that ‘Information is the most powerful weapon’. However, is a weapon really that powerful if it does not arrive on time? Explore how real-time streaming powers Generative AI across industries, from live image generation to fraud detection.

Core Computer Vision Algorithms and Their Uses

17/05/2025

Discover the main computer vision algorithms that power autonomous vehicles, medical imaging, and real-time video. Learn how convolutional neural networks and OCR shape modern AI.

Applying Machine Learning in Computer Vision Systems

14/05/2025

Learn how machine learning transforms computer vision—from object detection and medical imaging to autonomous vehicles and image recognition.

Cutting-Edge Marketing with Generative AI Tools

13/05/2025

Learn how generative AI transforms marketing strategies—from text-based content and image generation to social media and SEO. Boost your bottom line with TechnoLynx expertise.

AI Object Tracking Solutions: Intelligent Automation

12/05/2025

AI tracking solutions are incorporating industries in different sectors in safety, autonomous detection and sorting processes. The use of computer vision and high-end computing is key in AI tracking.

Feature Extraction and Image Processing for Computer Vision

9/05/2025

Learn how feature extraction and image processing enhance computer vision. Discover techniques, applications, and how TechnoLynx can assist your AI projects.

Fine-Tuning Generative AI Models for Better Performance

8/05/2025

Understand how fine-tuning improves generative AI. From large language models to neural networks, TechnoLynx offers advanced solutions for real-world AI applications.

Image Segmentation Methods in Modern Computer Vision

7/05/2025

Learn how image segmentation helps computer vision tasks. Understand key techniques used in autonomous vehicles, object detection, and more.

← Back to Blog Overview