SnA provides machine learning data to power the successful implementation of AI, strengthening and optimizing modern security and surveillance systems.
Data annotation and labeling have played a vital role in optimizing security and surveillance solutions, contributing to a safer and more secure world. The following examples highlight how our expertise in annotation and labeling delivers real-world value and impact.
SnA’s annotated data empowers AI algorithms to precisely detect and count individuals in crowded spaces, supporting better crowd management and monitoring.
Leverage our machine learning data to build AI security solutions capable of facial recognition, emotion detection, and health condition analysis.
Utilize our AI data to develop machine learning algorithms that detect and analyze suspicious traffic patterns and real-time scenarios, enabling accurate assessment of potential risks and threats.
AI training data empowers security systems to scan, detect, analyze, and report potential burglary or theft incidents with greater accuracy and speed.
AI training data empowers security systems to scan, detect, analyze, and report potential burglary or theft incidents with greater accuracy and speed.
SnA applies image annotation techniques to help AI systems accurately identify weapons, dangerous items, and security threats in real time.
