Affordable and secure video surveillance for your business security

A video surveillance camera is a digital video camera that is controlled and exchanges data over an IP (internet protocol) network.  

The first mistake is to choose a camera based on price or megapixels. 

1. Start with the Objective, Not the Camera

The first mistake is choosing a camera based on price or megapixels. The right question to ask is: What do I need this camera to do: observe, recognise, or provide evidence?

The difference is critical:

• Observe: A wide overview is sufficient.
• Recognize: Requires the right optics, angle, and resolution.
• Provide evidence: Must ensure image quality, stability, and data integrity.

If the objective is not clear, the camera will be the wrong choice, regardless of price.

2. Megapixels Aren't Everything (Optics Matter More)

A popular myth: the more megapixels, the better. The reality: poor optics + high megapixels = a poor result.

Look at:

• Lens quality;
• Field of view;
• Sensor size.

A better-quality camera with a lower resolution will often provide a more usable image than a "cheap 4K" alternative.

3. Evaluate Lighting Conditions (Especially at Night)

Most failures occur precisely due to poor lighting.

Verify:

• Whether the camera is designed to operate in twilight or complete darkness;
• Whether it utilizes IR illumination, white light, or high sensor sensitivity;
• Whether the night-time image remains sharp and in color.

If a camera performs well during the day but "falls apart" at night—it is the wrong choice.

4. Look at Video Analytics, Not Just the Image

Modern video surveillance is not passive.

Ask yourself:

• Does the camera recognize people, vehicles, and movement?
• Is it possible to filter out false alarms?
• Does the analytics processing happen on the camera (edge) or on a server?

Without analytics, an operator is stuck staring at a screen. With analytics, the system does the work for them.

5. Cybersecurity Is Not a "Nice-to-Have"

A surveillance camera is a network device. This means it is a potential point of vulnerability.

Check:

• Whether the manufacturer regularly releases security updates;
• Whether the camera supports encryption;
• Whether it features access control mechanisms.

A cheap camera lacking cybersecurity is a liability, not a saving.

6. The Camera Must Work Within a System, Not in Isolation

A single camera on its own delivers limited value. A good solution must be able to:

• Integrate with a VMS (Video Management System);
• Interoperate with access control and perimeter protection;
• Operate within a unified security platform.

If a camera is a "closed" system or difficult to integrate, it will cost you dearly in the future.

7. The Environment Is More Important Than the Design

An indoor camera must never be installed outdoors.

Assess:

• Temperature range;
• Humidity, dust, and vibrations;
• Vandalisim risks.

An incorrectly selected camera will degrade prematurely or fail to function entirely.

8. The Long Term Matters More Than the Initial Price

The cheapest camera often ends up being the most expensive due to:

• Frequent replacements;
• A lack of updates;
• Incompatibility with new solutions.

A professional camera is selected for a 7–10 year lifespan, not just for a single project.

9. Don't Rely Solely on the Specification Sheet

Manufacturer datasheets always look good. What matters more is:

• Real-world use cases;
• The experience of integrators and security specialists;
• Demonstrations and testing in actual conditions.

Paper accepts anything. The environment does not.

10. When in Doubt, Consult a Security Specialist

Video surveillance is a component of security infrastructure, not an IT toy.

A proper consultation:

• Saves budget;
• Mitigates risks;
• Ensures the system performs effectively in a crisis situation.

Video surveillance with integrated Artificial Intelligence (AI) refers to closed-circuit television (CCTV) systems that incorporate AI features and capabilities. Traditional surveillance systems are primarily passive, capturing video footage for later review or analysis. However, by integrating AI technology, video surveillance systems become smarter and more proactive, offering advanced functionalities such as:

• Object Recognition: AI-powered video surveillance can recognize and classify objects in real time, distinguishing between humans, vehicles, animals, and other objects of interest. This enables more targeted monitoring and alerting.
• Behavioral Analysis: AI algorithms can analyze the behavior of individuals captured on camera, detecting suspicious activities such as loitering, trespassing, or erratic movements. This helps security personnel identify potential security threats more effectively.
• Facial Recognition: AI-equipped surveillance systems can perform facial recognition, identifying and tracking individuals based on their facial features. This capability is highly valuable for enhancing security measures in areas such as access control and public safety.
• Anomaly Detection: AI algorithms can learn typical activity patterns within a monitored area and alert security personnel to anomalies or deviations from the norm. This early-warning system helps prevent security breaches and potential incidents.
• Predictive Analytics: By analyzing historical data and patterns, AI-driven surveillance systems can predict potential security threats or incidents, allowing for proactive risk mitigation measures.
• Automated Response: Some AI-integrated surveillance systems have the capability to trigger automated responses based on predefined rules or alerts. For example, the system can automatically notify security personnel, activate alarms, or adjust camera settings in response to detected threats.

Overall, video surveillance with integrated AI represents a significant advancement in surveillance technology, offering enhanced security capabilities, increased efficiency, and proactive threat detection and response.

A decentralised video surveillance system is a system that does not require a video surveillance server. All intelligence (analytics, archiving, diagnostics) is processed in the camera itself. So when you buy a MOBOTIX video surveillance camera, you are actually buying a video surveillance system. ​  

Low-cost solutions focus on price rather than security. Professional video surveillance ensures reliable operation, cybersecurity, analytics, and integration with other systems.

Yes. With Genetec and Digifort, you can integrate video, access control, and perimeter security into a single platform.

The most trusted manufacturers are those in the European Union and NATO countries, which can certify their products' durability and resistance to cyber-attacks with various security certificates. But also Hanwha Vision, a conglomerate company that has been in the security industry for more than 30 years. They have won several Govies Government Security Award and Security today recognitions.

That is exactly why professional solutions are used - they are scalable without having to replace the system.

Although both companies have been leaders in the security industry for more than 25 years, there are several key differences between them:

Camera design and architecture:

Video processing and analysis:

Software and Management:

Product Range and Customization:

Pricing and Market Position:

Ultimately, the best choice between Hanwha Vision and MOBOTIX depends on your specific security needs, budget, and preferences. Consider factors such as the complexity of your surveillance requirements, the desired level of integration with other systems, and the importance of advanced analytics and artificial intelligence capabilities.