February 2022 - Cogniphi

As we build a better society, one of the most important measures of progress is public safety. Companies around the world are designing innovative technologies to detect and prevent crimes. With AI, it has now become easier to leverage historical data to identify patterns and predict locations where crimes are most likely to happen in order to focus all energies into making the most vulnerable areas safe.

Moreover, with technologies like facial recognition and validation, it has become possible to solve crimes with reduced time and effort. More and more improvements in law enforcement can be seen with the implementation of data-based technologies, especially Artificial Intelligence.

But what’s in store for the future of law enforcement?

Vision Intelligence For Public Safety

Vision intelligence has highly practical applications in surveillance and public safety. With the ability to detect patterns in visual feed – images or videos, it becomes easier to track and identify items, patterns, people, and behaviours to trigger an alarm or warn the responsible security personnel in real-time of impending threats.

Some of the vision intelligence applications that are most useful in public safety are:

1. Facial Recognition and Validation

Facial recognition is currently a relatively commonplace technology where most smartphones are now locked/unlocked with it. However, it’s application in surveillance and public safety is more profound, and paramount. With AI-based visual intelligence, facial recognition can not only identify people behind a disguise but also read emotions and expressions to predict suspicious behaviour if and when a person is intending to commit a crime.
Moreover, with facial validation, it becomes possible to detect and prevent bypassing of facial recognition through identity theft or deep fakes.

2. Behavior Detection

When trained to identify a set pattern of behaviour that people are required to follow, an AI-based camera can detect anomalies from the set pattern and provide alerts or notifications. This can be implemented in controlled public places such as prisons, mental asylums, etc. where a set pattern of behaviour is expected from individuals and any anomaly can be a sign of trouble.

3. Skeletal Construction

Certain movements can be identified in individuals that indicate criminal intent. In surveillance, with video cameras ingrained with vision intelligence, one can identify if there’s a fight that breaks out in an alleyway and whether it’s just a quarrel or it has serious repercussions. This insight could potentially enable the surveillance to make the right decision at the right time to prevent escalation of the situation and possibly prevent a crime from happening.

In addition to all this, the applications of vision intelligence are becoming more pronounced and imperative as we advance in technology and operations.

We, at Cogniphi, are building effective vision intelligence solutions that are outcome-driven and significantly improves the existing cameras in an area to drive insights and ensure improved surveillance and safety.

About Cogniphi

Cogniphi is a technology company that focuses on building next-generation vision intelligence solutions that are outcome-driven and seamlessly integrates into the existing infrastructure. Cogniphi’s AI Vision is a platform that’s built to improve operational efficiency at every level of an organization, across industries and sectors.

If you’re wondering how Cogniphi’s AI Vision can help you transform your business, get in touch with us for a free demo!

The Fourth Industrial Revolution or Industry 4.0 is here – it’s blurring the lines between the physical, digital, and biological worlds. With a fusion of progressive technology like AI, robotics, the Internet of Things, 3D printing, and more, it’s changing the way the world functions.

We are witnessing the inception of full automation across sectors – manufacturing, retail, pharma, medicine, and more. Data has become instrumental to making this happen and Artificial Intelligence is what’s driving it. As we progress into a more capable, more exciting future, it’s imperative that the quality of production, in all sectors, becomes better and better – it’s called progress for a reason.

AI has been providing the inputs for digital transformation but without the capability to understand context. The AI cameras currently used by most businesses require a human to look at the footage to add context in the detection and have a very low accuracy which makes them ineffective. Without context, there’s little value that these cameras can provide.

The machines that businesses and organizations have setup into their premises to monitor data, especially cameras, only look at the 1s and 0s of the data that’s presented to them – they lack the clarity of context that denies them the opportunity to be precise, accurate, and error-free.

And that’s about to change.

In the last few years, we’ve taken huge leaps in vision intelligence. This prominent technology enables cameras to look at visual feed as a whole – complete in its context. This empowers them to identify, detect, or distinguish between objects with better clarity, precision, and accuracy.

Current advantages of vision intelligence in quality control

With the recent advancement in vision intelligence, we have already seen the benefits in quality control like:

identifying damaged/faulty goods during production
enforcing PPE for workers
checking on vacant shelves in supermarkets
Identifying and eliminating repetitive tasks

Why AI Vision will become crucial for quality inspection

Quality control is fast becoming automated in a lot of companies across sectors.

Such improvements in the process not only improves the productivity of a process but also leads to more efficient production leading to better returns for businesses with a higher production at reduced costs.

For instance, a camera overlooking a production line must have a person sitting behind it, ensuring that no product is damaged or defective. Now, this person could easily miss a few defective products owing to fatigue which could affect the later production. With an AI-enabled camera, the defective products can be instantly and consistently flagged and pulled out of the production line, saving wastage any further in the process.

These intelligent cameras can not only detect imperfections but also enable geometric inspection, packaging control, product classification, and more.

Some of the undeniable advantages of vision intelligence in quality inspection include:

Being precise and accurate in reporting and flagging inefficiencies
Accelerating the production speed through seamless flow of repetitive tasks
Reducing the downtime of a process by eliminating breaks or rest
Lowering the operational costs by cutting down on manual labor and saving on wastage

Cogniphi is accelerating the future of vision intelligence with Cogniphi’s AI Vision by enabling leaders in the manufacturing with specific cognitive intelligence to solve problems. We take a very objective approach to solving business problems – analyzing the challenge to find out the reasons behind any inefficiencies and reaching the root of the cause and solving it from within to ensure that the return on investment is profound.

About Cogniphi

Cogniphi is a technology company that enables customers to achieve transformational outcomes through cognitive digital solutions. It believes in a 360-degree problem-solving approach, building solutions that can scale and adapt to changing business demands for continuous improvement.

Month: February 2022

How AI Vision is Changing Public Safety for the Better

Why AI Vision is Crucial in Quality Inspection