Smart Vision AI Developers Kit Is Accelerating Computer Vision Applications

Imagine being able to embark on a real-time computer vision project in a few hours, with no code to build a traffic control system, a warehouse monitoring system, or an in-store point of sale optimization system. Like the apps that are built on top of smartphone operating systems, these smart computer vision projects can use a multitude of proprietary and vendor algorithms. Because they are built on top of BrainFrame, an operating system for computer vision that comes with a Smart Vision AI Developers Kit, they take a fraction of the time to build than other computer vision projects.

BrainFrame is one of the core products of Aotu.ai, started by two founders, Stephen Li and Alex Thiel. Stephen applied his experience building out the Android operating system to BrainFrame. In collaboration with leading chipmakers such as Intel, Nvidia, etc., BrainFrame is positioning itself to take center stage as more developers rush into the space to experiment with computer vision applications in a variety of industries. 

Recently, BrainFrame received the Nvidia Metropolis Certification, and Aotu in partnership with AAEON and Intel, just announced the release of its Smart Vision AI Developers Kit on the Intel AI Platform for IoT. 

Stephen Li, CEO and Founder of Aotu.ai says, “Aotu.ai, initially focused on developing robotic solutions. As we completed early robotic projects, we found computer vision was at the heart of what we were building and that you need great performance. We decided to figure out how to achieve this great performance without writing a lot of code and led to the creation of BrainFrame. We then realized the need for a developer’s toolkit to help developers to customize and deploy computer vision projects quickly.”

Edge AI is Important For Video Processing

Computer vision requires real-time video

Rape kit tracker website now available for victims: Illinois State Police

A new online system will let victims of sexual assault track the progress of their rape kits, Illinois State Police announced Wednesday.

The system, named CheckPoint, promises to add transparency to a state testing system notorious for a backlog that, in 2016, delayed results by a whole year.

According to state police, CheckPoint lets victims follow the evidence through the entire process: from collection at the hospital, through law enforcement pick-up and submission to the forensic lab, and ultimately to the state’s attorney’s office where final results are received.

To ensure privacy, the system uses unique case numbers and passwords to limit access to survivors and police, Illinois State Police Director Brendan Kelly said in a statement.

“This point-by-point knowledge of the location of their evidence will help to empower survivors and foster public trust in the system,” Kelly said.

CheckPoint is now available at 86% hospitals in Illinois with sex assault treatment plans, according to state police, who are entrusted with processing all DNA evidence from local law enforcement agencies.

The online system has been in the works since 2017, when then-Gov. Bruce Rauner signed into law the Sexual Assault Evidence Tracking and Reporting Commission.

In March 2019, state police said the evidence tracking system would be running by the end of the year, but the rollout wouldn’t happen for another nine months.

At the time, Kelly said the tracking system would lay bare the delays in the process: “… I know all stakeholders involved will see many steps that can be taken, both inside and outside the lab, which will reduce turn-around time,” Kelly said in a statement then.

In August 2019, Gov. J.B. Pritzker signed an executive order forming a task force to tackle the state’s DNA testing backlog that had ballooned from 4,000 unfinished DNA tests