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Best Practices for Implementing AI Camera Systems

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Artificial Intelligence (AI) has become one of the buzziest and most talked about technological developments in the past year. Implementing this technology offers numerous possibilities, as various industries explore integrating them into their operations. 

Camera systems are no different, they too have been integrated with AI features and capabilities. This means cameras can now do more than just record and store footage. 

In this blog, we will learn more about what these developments are and the best practices to follow. We will also share how Cartrack's AI dashcams and camera systems can work for you.

In this article, you will:

  • Learn what AI camera systems are
  • Discover what the best practice is when implementing the system
  • Understand what key considerations to take into account
  • Find out what the future of AI cameras is
  • Learn about Cartrack’s AI camera offering

Understanding AI Camera Systems

AI camera systems are advanced video security devices that use artificial intelligence to augment security features and improve visibility. Let’s learn more about what this encompasses. 

What are AI Camera Systems?

AI cameras are cameras that use artificial intelligence to monitor and detect specific behaviours and incidents in video footage. These incidents are recorded and reported in real-time, providing alerts when certain infringements happen. This footage can be saved for long periods of time and recalled whenever a review is needed. The storage space of each camera unit and system will depend on the provider and their specific product offering.

Common applications for these types of cameras include surveillance, traffic monitoring, retail analytics and fleet management. They are useful to these industries because they provide tangible evidence and assist in planning for the future.

Key features of AI-powered cameras

AI cameras offer a range of advanced capabilities to enhance security monitoring. Some key features that AI-powered cameras have include the detection of:

  • Smoking
  • Fatigue
  • Forward collisions
  • Camera cover or tampering
  • Cellphone use
  • Seat belt compliance
  • Distracted driving

Benefits of AI Camera Systems

AI camera systems come with a number of benefits, the biggest one being enhanced security and crime prevention. The use of these cameras gives fleet managers the comfort of knowing that everything is being recorded and detected in real-time.

Improved fleet management is another benefit that comes with using AI cameras. Knowing what is happening in the vehicle and on the road for regular trips gives insight into what a typical trip is like. This allows for planning and preparations for upcoming trips. These preparations can be for bad roads and unexpected weather conditions. 

When used in fleet management, AI cameras can ensure compliance with safety regulations and industry standards, reducing the risk of fines and penalties. This technology will significantly improve the safety, efficiency, and profitability of fleet operations. By using the power of AI, fleet managers gain valuable insights into driver behaviour and vehicle usage, all of which lead to better decision-making and a more successful business.

A dashboard camera mounted in a vehicle with a person in a suit holding the steering wheel.

Best Practices for Successful Implementation

When implementing AI camera systems in your business there are many considerations to make. Most of these deal with understanding how your business runs and how this camera system will assist in that goal. It is important to consider these aspects as they will make the application of this technology easy and efficient.

  1. Define Clear Objectives
    When implementing AI camera systems, it is important to identify the purpose and expected outcomes of applying this technology first. You will need to establish the intended goal, whether it is security, analytics, or just general record-keeping. Having this knowledge will aid in determining how to best optimise the AI camera systems to the fullest of their capabilities. 
  2. Partner with Trusted Vendors
    Choosing the right AI camera system will depend on the service provider selected. The importance of selecting reputable suppliers with proven technology is paramount, as this provides proof of the quality of the product. The vendor chosen should have a history in the industry and a long list of satisfied customers, most businesses that offer this product often share the industries and companies that they have supplied. Knowing this will aid in evaluating vendor expertise and customer support.
  3. Leverage Scalable and Future-Ready Systems
    Investing in systems that allow for upgrades and integration with future technologies is the next step to follow. These camera systems should be able to be integrated to a software management system that allows the user to carry over footage and have it seen on that platform. Additionally, some features should be adaptable to current developments in the industry as well as future technologies. 
  4. Prioritise Data Security
    In this day and age data security is a major issue for many. Many laws are already in place, with some in the pipeline, to address how personal data such as video footage should be handled. This is why you should implement robust cybersecurity measures to protect sensitive data. This can include two-factor authentication when using a password to enter the platform, as well as a strict code of use that dictates how and when people should use the footage from the cameras. 

    Regular audits and updates to AI systems will then be necessary to check how much of the system is safe and how much tampering has occurred. 
  5. Conduct Pilot Testing
    Before the AI camera system is installed across the board, a test will need to be done to see how the system functions. This will mean testing systems in controlled environments to identify potential issues and functionality problems. This testing can be done by both managers and, in the case of fleet management, drivers as well. You will need to gather feedback from all the pilot testing and then refine deployment strategies accordingly.
  6. Train and Educate Stakeholders
    Understanding how these cameras work may require some members of the staff to get training. Providing adequate training for system operators and users will become necessary, especially for those who will be using it regularly. Raising awareness about ethical AI usage should also be considered as there will be some legal guidelines to follow.
  7. Continuous Monitoring and Improvement
    Regularly evaluating system performance and making necessary adjustments is necessary and will need to become a standard practice. This will aid in keeping the system in check and functioning in top condition. Staying updated with technological advancements and regulatory changes also assists in making sure that your camera system is still aligned with all the legal requirements as and when they are changed or updated.

Key Considerations Before Implementation

As with all forms of technology, some considerations must be taken into account to know how well it aligns with the company's goals. Let us see what some of these considerations are when implementing AI camera systems. 

Regulatory Compliance

The Personal Data Protection Act (PDPA) is Singapore's primary data protection legislation and is the most important law for the protection of personal data, having a direct connection to the use of AI cameras. Data laws governing the collection, use, and disclosure of personal data, include key definitions for:

  • Consent Obligation: Collecting personal data is subject to prior consent apart from exceptions such as for legitimate interests or public safety.
  • Purpose Limitation Obligation: Only for defined purposes shall that data be collected.
  • Notification Obligation: Persons informed of the purposes for which their data is taken in.
  • Retention Limitation: Personal data should not be kept longer than for necessary retention.
  • Accountability Obligation: Policy and practice must be put in place by organisations to ensure compliance.

AI cameras are not to collect facial recognition data or other identifiable personal information without adequate notification or consent. Organisations deploying such cameras must ensure data security and compliance with PDPA's data minimisation principles.

Ethical Considerations

It is also important to address potential biases in AI algorithms, some AI systems may have inherent biases built into them. Some of these can include not perceiving certain skin tones or misunderstanding what certain objects are and attributing them to something else. Being aware of these possibilities allows you the opportunity to prepare contingency plans should some of these issues occur. 

Cost and ROI

Whenever a new piece of technology is being implemented the cost should be greatly considered, especially seeing how it will bring its return on investment. The initial investment in this technology should match the long-term benefits, in this case AI cameras are very much worth it. The initial cost is marginal compared to how much potential income it will recoup from mitigating expenses associated with bad driving. 

An added benefit is that these camera systems last for very long times and only occasionally need maintenance and repairs. Meaning that the rewards can be reaped for many years to come for only an initial installation fee and affordable monthly subscription.

Person giving a thumbs up next to a laptop with a screen showing on a modern office desk.

Future of AI Camera Systems in Singapore

The future of AI camera systems in Singapore looks bright. There are many emerging trends such as edge AI, an artificial intelligence and edge computing that enables an autonomous device to process data locally, rather than on a cloud server. This is one of many technologies that are reshaping the AI space that look to be adopted by many developed nations, like Singapore. 

Another is 5G integration with AI. The data available within a 5G network provides insights into performance, user behaviour and environmental factors. AI algorithms can use 5G information to suggest the best networks to connect to, this includes dynamically allocating bandwidth and resolving bottlenecks in internet usage. This is going to be very useful as more and more people adopt AI technology. 

The potential impact on smart city development is undeniable, especially for a technologically advanced nation like Singapore. As the city becomes smarter with more adoption of innovative technologies, AI camera systems will become more necessary and eventually commonplace. Singapore’s position as a leader in AI adoption in Asia places it in the best position to move in on this future of development.

Cartrack's AI Camera Solutions

Cartrack offers AI-powered cameras and live stream camera technology. You get to monitor your fleet with road and cabin-facing AI dashcams, getting up to 8 internal and external cameras to help keep your drivers, fleet, and cargo safe. Additionally, you can detect high-risk driving behaviour in real-time using artificial intelligence, as well as G- force and GPS data.

With Cartrack’s camera solutions you can keep your drivers safe with preventative in-cabin voice alerts that let them know about potential safety violations so they can correct them immediately. You can also use recorded footage of your drivers to coach and train them on how they can improve their driving behaviour and increase their safety on the road.

If these solutions sound good to you then make sure to contact us to learn more about our comprehensive options.

FAQs

What are the key benefits of implementing AI camera systems?

The key benefits include enhanced security through real-time threat detection, improved operational efficiency via automation, advanced analytics for decision-making, and a reduction in human error during surveillance.

How do I choose the right AI camera system for my needs?

When choosing the right AI camera system, evaluate the resolution and hardware specifications, check compatibility with existing systems, and look for features like edge computing and real-time processing. Ensure that the solution is scalable to accommodate future needs.

How much storage is typically needed for an AI camera system?
Cartrack’s AI Multi Vision cameras offer up to 1 terabyte of storage which amounts to 164hrs capacity.

What should I do if my AI camera system shows faults?
If ever you detect any faults in the footage or recording system itself, you will need to contact the service provider. They will either get it repaired or replaced subject to the terms and conditions of the device warranty terms and conditions. Doing this will ensure that the AI camera system is accurate.

Discover best practices for implementing AI camera systems, ensuring effective surveillance, enhanced security, and ethical considerations.