Sighthound Blog
Latest Blog Posts
How AI in Law Enforcement Supports Public Safety
In this article, we’ll talk about AI in law enforcement how it helps public safety, and challenges that need to be addressed to ensure it is used ethically.
What Does My Car Say About Me? & 10 Surprising License Plate Facts
Have you ever stopped to think: What does my car say about me? Find out in this blog article, discover 10 surprising license plate facts, and learn about ALPR.
Best Facial Recognition Software to Use in 2023
This article provides an overview of 7 of the best facial recognition software providers on the market, while also touching on the ethics of facial recognition and privacy issues. You’ll discover how video redaction software makes it easier to responsibly deploy these solutions.
ALPR and Data Privacy Considerations
ALPR+ from Sighthound has best-in-class accuracy for reading plates all from all over the world. The data captured helps many businesses be more efficient and may also drive revenue opportunities. But with data capture, businesses must also be prepared to handle this information according to data privacy regulations.
ALPR Software ROI by Industry
ALPR+ goes beyond the license plate itself by capturing the make, model, color, and generation (MMCG) of a vehicle. ALPR+ collects more data points and that means an increased confidence rate in vehicle identification.
Automated License Plate Recognition (ALPR) - What is it?
ALPR, aka Automated License Plate Recognition, is the process of capturing license plate information. ALPR software takes a picture of a license plate and collects real-time information, often to identify a vehicle. For organizations like police departments, city governments, and vehicle-related industries, ALPR technology can provide information and insights that help optimize communities and processes.
How to test Computer Vision Systems - Part Two
We will be discussing fundamental metrics used to evaluate and compare computer vision systems such as accuracy, recall and precision. We will cover evaluations of the two main branches of computer vision: classification and detection.
How to test Computer Vision Systems - Two Part Blog
In this two part blog, we want to explore how to test a Computer Vision system. We will do a deep dive into the process and best practices for properly and accurately run a computer vision test. The first part here will cover Annotation. Data annotation helps provide valuable insight and information with respect to the system requirements.The second part will cover evaluation and explain topics like accuracy, recall and precision.
Artificial Intelligence vs Machine Learning vs Deep Learning: How are they all connected?
Artificial Intelligence can thus be thought of as a system to help mimic human intelligence by using algorithms; techniques, rules and/or methods to learn, reason and react to different situations and scenarios like a human would do.
Sighthound IO: Deeply-Learned Computer Vision Technology Now on Windows
Companies needing to access computer vision through a cloud API have many choices.
Breaking Boundaries in License Plate Recognition
What would an ideal LPR system look like? Automated reading of license plates has been around for decades. Unfortunately, most of the technology has not changed much in that time.
Recognition of European Vehicles
Every year in the UK hundreds gather for the Festival of the Unexceptional. In usually damp surroundings the most unglamorous vehicles of a little-gilded age joust for the prize of most mediocre…