Computer vision for person detection

In today's world, the ability to detect and track people in various settings is crucial for many industries. Computer vision and deep learning enables machines to interpret and understand digital images or videos. It involves the use of algorithms and mathematical models to analyze visual data.

Person detection is a specific task in computer vision that involves identifying human figures in images or videos. It can be used for a variety of purposes, such as surveillance, tracking people's movements, and counting the number of people in a crowd.

Three different techniques

Person detection, pose detection, and action analysis are three different techniques in computer vision used to analyze human beings in images or videos.

Person detection

Person detection refers to the process of identifying the presence of human beings in an image or video. It aims to determine if there is a person or multiple people present in the scene.

Pose detection

Pose detection, on the other hand, refers to the process of identifying and tracking the human body's joints and limbs in an image or video. It aims to estimate the position and posture of human beings accurately.

Action analysis

Action analysis, meanwhile, refers to the process of analyzing a sequence of poses or movements over time to identify and classify specific actions or activities performed by human beings. It aims to identify and understand the actions that a person or group of people is performing.

In summary, person detection identifies the presence of humans, pose detection estimates the position and posture of humans, and action analysis identifies and classifies the specific actions or activities performed by humans. These techniques can be used separately or in combination to solve various computer vision problems such as surveillance, crowd counting, sports analysis, and healthcare monitoring.

Business applications

Person detection solutions can be applied across a wide set of industries:

Business benefits

Here are some of the key reasons why our technology can be a game-changer for your business:

Improved Safety and Security

Identifying potential hazards, preventing workplace accidents, and detecting intrusions are important pieces of any corporate safety strategy. We make these processes simple, robust, and efficient with help of our cutting-edge artificial intelligence and deep learning algorithms.

Check out our existing solutions for detecting people around forklifts in warehouses and for detecting PPE on workers at construction sites.

Optimized Processes

Would you like to make your production site more efficient and improve overall productivity? Our person detection and action analysis technologies can help you get an in-depth analysis of your current operations and optimize them.

Valuable Customer Insights

We developed several person detection and action analysis solutions for monitoring customer traffic and behavior. These insights can help you to optimize your store layouts, reduce wait times, and improve customer experiences.

Performance improvement

Pose detection and action analysis can be extremely valuable in sports and other industries, where individual moves have a strong impact on performance.

Apixa person detection solutions

As an experienced computer vision house, Apixa can offer a broad range of services in the field of person detection:

Person detection consulting

If you – as a business or organization - are looking to implement person detection in your operations, Apixa can offer a broad range of consulting services: from the obvious needs assessment, over system design (including the selection of appropriate hardware and software) to algorithm development.

But also advise on integration with existing systems, such as safety and security systems, access control systems or other facility management systems. Or integration with all kinds of vehicles or manufacturing environments.

And finally: Apixa consultants can advise on how the person detection system can comply with relevant regulations, such as privacy and data protection laws, as well as industry-specific regulations.

Superior datasets and quality annotation

Good quality datasets are critical for the success of AI models because they ensure that the models are accurate, robust, and capable of generalizing to new situations. Without good quality datasets, AI models may be inaccurate, biased, and limited in their ability to make accurate predictions.

The quality of the datasets can be hugely improved by good labeling: this ensures that the data is accurately identified, consistent, efficient, robust, reusable, and explainable, which leads to more accurate predictions and greater confidence in the model's output.

The Apixa inhouse annotation team

To ensure the quality of the labelling, Apixa has built an internal annotation team, which, under the supervision of deep learning engineers, is responsible for the quality labelling or the datasets.

Hardware selection for person detection

To achieve a high-performance person detection platform, not only is a good AI model necessary, but the choice of suitable hardware components is equally important.

There are several types of hardware that can be used for person detection in computer vision applications: cameras, sensors, CPUs and GPUs, FPGAs or edge computing devices like the NVDIA Jetson Nano. The choice of hardware will depend on the specific requirements of the application, such as real-time processing, power efficiency, and accuracy.

The Apixa hardware engineers closely follow all rapid developments in computer vision hardware and are thus always able to select the best suitable hardware for the application at hand.

Support and maintenance

AI applications do require maintenance and support. The Apixa AI person detection support team is there to help you in case of AI failures where fast retraining of the AI models is required to make things work and keep working.

Joined product development

Apixa has a long tradition of contract research and joined product development. Over the past 15 years, we have been at the cradle of several new products and even a number of new companies.

We are used to working in partnership with start-ups and scale-ups as well as multinationals.

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