A longstanding problem faced by any sector is the difficulty AI can have in accurately detecting people and objects within images. These AI models cannot be trained due to a lack of data covering the different scenarios, which is exacerbated further by poor cameras, dirty lenses and low resolutions making detection almost impossible.
The challenge is seeking a new, cost-effective and robust AI solution
Current AI machine learning software needs someone to take 10,000+ images and then label them. This takes time and person-power, increasing costs.
S-VID aims to revolutionize machine vision AI technology.
It will work for any industry sector using machine vision.
Our proprietary game changing technology generates training datasets, ensuring they are trustworthy, reliable, ethical, non-biased and fit for purpose.
Datasets are comprised from video data, sourced from various locations which usually includes people; be that their face, personal details, purchasing activities and more.
Therefore, dataset creation from real-life people and scenarios pose a risk of infringing a person’s right to privacy under the Data Protection Act, GDPR and other relevant legislation (in the UK and elsewhere).
Additionally, the use of real-life data can be limited to specific genders, ages or ethnicities, resulting in datasets becoming biased.
To circumvent this, S-VID can create datasets to train AI models, resulting in less bias and less risk of infringing on a person's privacy.
Real-life video footage is limited in numerous ways: visually inadequate due to weather conditions, low resolution cameras or no footage of rare events. This impacts the validity of datasets to train AI models, rendering them inefficient for their purpose.
Generating video training data is more complex because it is multifaceted compared to text data. Therefore, current video datasets for AI models are trained on real-life footage (e.g., CCTV). This carries risks as stated, resulting in potentially biased AI models and issues around reliability and privacy.
S-VID can create any scene, crowded or empty at any time of the day or night.
Traditional methods for creating video datasets is timely and costly. S-VID can counteract these, making our product quicker and cost effective.
By utilising S-VID, customers can be assured that their AI sees more than the average surveillance AI model.
S-VID accuracy detection rates are higher and can be delivered at lower costs, much quicker than other AI datasets and models.
S-VID Data Generation
S-VID has the capability to generate any type of video training data sets for any use-case.
S-VID Quality Assurance
S-VID can test other AI models to ensure their robustness, trustwortiness, certifying they are fit for purpose.
S-VID Models
S-VID can provide pre-trained models that integrate into your ecosystem.
To find out more about our S-VID solutions, get in touch with our team using our contact form.