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.
Check out our case study on Parking Network to learn how one ALPR+ customer ensured profitability with higher vehicle identification accuracy. License plate recognition may not be enough to solve a business need and that is where ALPR+ comes through with additional data, more deployment options, and the highest accuracy rates.
Sighthound’s CEO and President were recently named 2023 Game Changers in the Orlando Business Journal! Congrats to Ryan Campbell, President, and Jonathan Taylor, CEO and Co-founder, on this exciting recognition. Sighthound sees big opportunities in 2023, and we’re thrilled to have Ryan and Jonathan leading the way.
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.
Sighthound ALPR+ stands out from other ALPR solutions. Standard ALPR software will collect information on just a license plate. ALPR+ goes beyond the license plate itself by capturing the make, model, color, and generation (MMCG) of a vehicle. ALPR+ collects more data points per license plate, and that means an increased confidence rate in vehicle identification.
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.
Sighthound has announced the launch of its new cloud-based version of Redactor, the fastest, most accurate, intuitive and easy video redaction application available today.
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 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.
Today Sighthound, Inc. launched a new suite of Automatic License Plate Recognition (ALPR) software, services, and solutions built on its 10-year heritage of innovative computer vision products…