Train algorithms to detect humans and their actions (gestures) for context of many use cases
Automated solutions for enhancing safety at work place to reduce injuries and accidents. We provide solutions with the latest advances in Vision Intelligence for our interested partners and clients.
Predict and alert on safe distance for person
Our team has built a Person detection system that can detect a person at more than 20 meters and can measure the distance of the person from the device within an accuracy of a 1 foot. If the person is within a pre-defined distance from the embedded device that runs the person detector vision intelligence model, we trigger a buzzer to warn of impeding collision. This device is small and hand-held. It can be mounted on a fork-lift or other vehicles to prevent accidental human-machine collision due to blind spots or when the operator is distracted. We built this Vision Intelligence solution using latest advances in training Neural Networks. We are doing user trails with our partners in India, Europe and the US by installing this device on fork-lifts.
Helmet, Vest and Goggles Detection
Secure detection of Personal Protective Equipment
Vision Intelligence solutions uses the latest innovation in Neural Networks that are trained with examples of pictures and videos of human wearing safety gear just like human Brain. We have optimized these AI model with hardware acceleration and it run on an inexpensive embedded processor. This reduces cost of ownership. Also, the video feed is not recorded or transmitted to any external hard-drive for this device to work. This embedded computer running Vision Intelligence model will run in a stand- alone mode. Only external communication will be notification and reports to supervisors, if configured to do so. This is designed with user privacy as an important design principle
Growing complex with a huge data volume and challenges in cost or patient handling
We provide AI assisted automated solutions to reduce medical errors and hospital-acquired infections, to monitor and enhance patient safety and to assist patients seeking care after discharge. We build computer vision-based solutions that aid physicians in correctly diagnosing different conditions. Allow the healthcare institutions to detect unsafe, prohibited or distress actions and alert the respective personnel.
Reduce Medical Errors
Reduce Hospital Acquired Infections
Activity or Gesture analysis
Trained Neural Networks to improve safety using Human activity recognition
Measure Productivity and Prevent Injury
We have developed a cutting-edge Vision Intelligence model and solution that can track and classify activities performed by humans. This is trained with data of real-life activities like bending, lifting, pushing, pulling, etc. These activities can be tabulated to measure employee productivity, chances of repetitive stress injury etc.
Sign Language Recognition
We have a demo of a Vision Intelligence application that we trained to recognize American Sign Language (ASL) gestures and this AI model can be expanded to incorporate more Sign Languages.
Automated Vision Intelligence to perform accurate facial recognition of people
We have incorporated facial recognition for identity verification inside business processes like KYC (Know Your Client) typically used in finance and personal banking. We can build facial verification inside a mobile app or web portal. This vision intelligence model will work with any features or processes inside the banking and finance app that requires authentication. This facial recognition-based identity verification is more secure and tamper proof than password, security questions that are typically employed in such apps now. The vision intelligence model can be used in other industry verticals like insurance, logistics, transportation and e-government related use cases can where identity management is mandatory.
Automated Number Plate Recognition (ANPR)
Accurate detection and recognition of vehicle registration or license plate is a well-known use case that is useful for security, surveillance and law enforcement. We have built a very accurate number plate recognition system using vision intelligence. This neural networks-based AI model is optimized to run on small edge processors that can convert a normal CCTV camera, into a smart camera capable of recognizing number plates and transmitting information to companion app, web-portal or database.