Does the AI Recognition Technology of Humans and Vehicles Vary Massively?
What is Facial Recognition?
In the simplest terms, facial recognition is a technology that relies on biometric data to analyse the key elements of a human face, before cross-referencing this information via an algorithm. According to Sentiveillance.com, this data can then be used to identify individuals and this can assist with locating missing people, security and access features, criminal activity and much more in between. It is fast becoming a key piece of software across a host of industries and for applications worldwide – and is only gaining more and more traction as the benefits are being realised.
What About Vehicle Recognition?
Unlike human facial recognition whereby an AI will analyse the structure and features of a person’s face, vehicle recognition differs slightly. This is because where humans have subtle differences, even if they are closely related or even twins – vehicles are much harder to distinguish from one another as brands will typically manufacture tens of thousands of models over a significant period of time that can make differentiation all but impossible. As a result, an AI will instead focus on the unique characteristics of a car, such as a vehicle registration number or customised additions and accessories to determine if it is meeting the set requirements.
How Facial Recognition Works
Facial recognition software is designed to follow a set of procedures that include capturing, analysing and performing pattern comparisons on either still or moving imagery that will help to define, verify, or even individually select people based on their unique appearance. The results of this process transform analog information into digital information such as data or vectors to connect requisite markers that will provide verification.
Types of facial recognition software include:
- Holistic face-matching software
- Hybrid face ID software
- Skin texture analysis algorithms
- Thermal camera imaging
How Vehicle Recognition Works
This type of recognition is commonly used to determine speeding vehicles (in the case of ANPR software), but it is also used in car counting for data collection. As these applications are growing in the modern environment, accuracy and functionality can be incredibly important and vision-based vehicle identification software ticks all the right boxes. Predetermined datasets will be programmed into the AI to create the foundation phase of its role, whereby deep learning can be built and more nuanced annotations will develop over time.
- Number plate recognition software
- Make and model recognition
- Vehicle defect reporting software
- Vehicle counting software
- Deep vision recognition software
How Are These Technologies Different from One Another?
Although they will typically rely on similar frameworks to function (imagery, algorithms, data collation, etc.), the main difference between the two types of technologies is the way that the AI software functions and ‘knows’ how to distinguish between the different identification requirements. As the AI learns to process visual information, it develops the ability to recognise human features, as well as those belonging to vehicles. The intrinsic process will largely be the same, so to find out more about how this unique technology works, you can find out more here.
