Senseye’s API is an opportunity to interface directly with our cutting-edge computer vision metrics and cognitive insights. Clients utilize advanced metrics to enhance and grow their business, and to interact with clients, employees, and consumers on a profound level. Senseye’s API can be used to build a customized platform, or is easily integrated into existing applications.
Using commercial-off-the-shelf cameras, dynamics of ocular movements are measured using a method that enables the monitoring of brain activity. The algorithmic backend of this platform involves computer vision to extract ocular data from raw video feeds and machine learning to parse this data into relevant responses.
Our API is immediately available in Python. With additional engineering work, it can also be used with any language supported by the gRPC protocol. Contact us for more information.
No need for wearables or massive machines.
We are on a path that allows our customers to acquire data from most modern camera hardware without sacrificing accuracy.
Complete ability for customization, real-time, fast, and universal.
Optimize the accuracy of our AI to your specific use case through exclusive data collection.
The privacy of our users is Senseye’s top priority. Senseye’s proprietary algorithms are never used to identify a person’s uniqueness or personal identity to outside parties.
Human behavior data is only as valuable as it is usable in the real world. Senseye delivers tangible metrics quantifying a consumer’s neural interaction with any marketing activity. We make it easy to connect with consumers and collect on-demand data in a noninvasive and intuitive environment. Use Senseye’s bleeding-edge computer vision to surface insights about your audience and help you optimize your messaging and create better consumer experiences. Our algorithms work effectively with various stand-off cameras to unlock access to the brain in a more organic interaction.
Expand the breadth of marketing data without sacrificing focus by embracing remote implementation. Research, test, and conduct focus groups across the world and expand your reach through our accessible API.
Senseye’s leading indicators of fatigue and impairment can be used in any environment where there is an element of human risk that needs to be monitored and evaluated. The intention behind this technology is to identify in real-time users that exhibit ocular signals of being unfit for duty. Utilizing our signals, determine if someone is fatigued, intoxicated, or exhibiting maladaptive signals of stress at levels that prohibit them from safely performing job duties. Learn more about how LLoyds Register has integrated our cutting edge technology into their daily reporting structure to ensure that all employees are fit for duty and are not suffering from excessive fatigue symptoms.
As many as one million people per day miss work because of stress. Studies suggest that this translates into $150 – $300 billion in loss annually for U.S. employers. Senseye can assist in aggregating anonymized employee data to optimize staffing. Create a deeper understanding of shift workflow, and leverage data to create ideal shift length, break placement, and break length to minimize burnout for your employees.
Training Effectiveness: insights such as cognitive load, fatigue, and stress enable an understanding of factors that can inhibit an individual’s ability to learn at any given time. These insights can be used to identify a student’s learning trajectory to quantify and optimize the process of learning. Curriculum can be dynamically adapted to an individual’s unique pace. This level of adaptive training has proven to provide accelerated learning while ensuring the retention of curriculum material. Aptitude Profiling: objectively understand the cognitive abilities of a user within the context of specific tasks. An excellent example of this application includes esports teams employing our technology to select high caliber athletes and adapting their training programs to optimize performance.
Offer patients personalized care, using cognitive insights and vital statistics to optimize medical treatments. Minimize costs for all parties. Understand which treatments will be safest, and most effective, based on individual data.
Access physiological data for online wellness checks, improving patient care and experience.
Our Targeted Learning System is composed of a series of algorithms that monitor different cognitive behaviors and identifies a student’s learning trajectory. Based on the learning trajectory, training can then be adapted to an individual’s unique pace. This level of adaptive training has proven to provide accelerated learning while ensuring retention of the material.
Our ORM product offers a non-invasive “fit for service” assessment that employees can complete as part of their shift requirement. Regular use of an ORM system has shown to reduce workplace accidents and mishaps due to fatigue, psychological stress, or impairment due to drugs or alcohol.