South African business owners – wondering why Gensix Technology deploys these weird looking devices with their video surveillance systems?
It has to do with these two abbreviations AI (Artificial Intelligence) and ML (Machine Learning). Many use these terms interchangeably – although they are not interchangeable.
ARE AI AND ML THE SAME THING
AI refers to an algorithm that carries out a structured, but unchanging analysis of your video footage. It cannot get any better, without a physical update to the algorithm. AI enables machines to perform human-like tasks. It can distinguish objects like humans, vehicles or other specific objects in an image. AI is going further – there are models that can identify human behaviors emotions, and actions. Like a human who doesn’t take additional training or receive corrective input, it will carry out the task the same way over and over again, even if the method is wrong.
Now we turn to ML. Machine learning is a process attached to the intelligent video surveillance devices. ML is leveraged to help the device improve itself through supervised and unsupervised continuous learning techniques.
AI requires less compute ability than ML. The AI is an already trained model. ML ensures continuous training and requires a lot of compute power. That’s where these devices come into play.
NVIDIA LEADS THE WAY
Nvidia has emerged as a leading manufacturer of ML capable devices. There are others like Google Coral Edge TPU Board, the Asus Tinker Board 2, and the Beaglebone Black – but nvidia based devices are the most popular.
These small devices pack a punch, specifically for the ML task.
What are the benefits, to you the business owner?
- Improved Accuracy and Efficiency – Analyze video footage in real time, and with higher accuracy. The raw compute power of the device is harnessed.
- Enhanced Data Collection and Analysis – These devices don’t just look for specific data to analyze. It keeps learning from the data it captures.
- Cost Savings: These devices automate tasks traditionally performed by humans. They don’t only reduce labor costs, they overcome many limitations that human operators experience.
- Scalability and Integration: These systems allow the video surveillance system to expand, interface with legacy devices and sensors and can adapt to new environments and scenarios.Remote Monitoring: You don’t need to monitor these devices 24/7. They will alert you to the important events that you need to be aware of.
CONCLUSION
While we deploy these devices for their compute power and ML abilities – the real reason is that it aligns with our mission and vision. “To provide accurate intelligent and pro-active video surveillance”.
Gensix Technology systems include our off-grid surveillance sentries SolarSur and SolarOne, and our ML machines. These systems can be customized with other cutting edge technologies like thermal imaging, lidar and other sensors for accurate detection in low light or other challenging environments.
In conclusion, AI-powered video surveillance cameras, matched with thermal imaging and lidar, offer a range of benefits for businesses looking to improve their security, reduce costs, and enhance overall operations. By leveraging the power of AI and machine learning, these systems can provide valuable insights, automate tasks, and improve overall efficiency.
