Fatigue and inattentiveness are major causes for accidents in various industries, such as airline, transportation, oil & gas, mining, construction, and manufacturing, causing hundreds of thousands of accidents and fatalities per year.
Tristar is focused on solutions for accident prevention through fatigue and attention detection, using non-invasive cutting-edge Artificial Intelligence technology. Tristar’s technology can not only assess physical fatigue, but also mental state and stress.
Our technology reduces risks and increases performance by alerting operators and supervisors when safety hazards or operating prodecures are broken. Real time alerts prevents accidents from occuring and can be deployed in any industrial setting. Integrate our monitoring easily with your existing cameras, phones, and laptops to embed our body posture detectors within your existing workflows.
In the US, there are 12.5 million shift workers. A thorough survey identified that 38% of workers reported being sleep deprived. Risk of accidents in night shift workers is 30% higher than day shift. With Tristar, signs of fatigue can be tracked and monitored, and workers that are inattentive can be identified to prevent accidents and downtime.
Mistakes on the manufacturing line are often expensive and result in heavy downtime. Operating procedures must be followed to prevent issues from occuring. Tristar can detect operator errors by verifying the sequence of tasks are completed on time and correctly. Real time alerts will help you ensure consistency and reduce training time.
A centralized location for all your storage needs help to reduce the production gap. This means you have to receive, store, distribute, and ship products. In order to have all these moving parts operating smoothly and efficiently, each step must be organized and tracked. Tristar is developing machine learning process to improve inventory and procedural control systems to monitor all aspects of warehouse management.
Through visible light and infrared cameras, we can track an operator's body movement. If the operator's body language or action is predicted to lead safety violation or operational mistakes, the system then responds and alerts both the user and supervisor to act accordingly and avoid further risks.
Our system also helps avoid accidents by immediately detecting in real-time when an employee is entering a state of risk, and advising the supervisor and activating alarms, making employees aware that the company is on top of their situation and cares about them, promoting a good working culture.
Start using containerized, easy-to-use AI software in your workflow. Analyze operator patterns over time, detect risk situations on the spot, and increase your employees' wellness and your oganization's operations using our cloud solutions.
Tristar's technology is based on cutting-edge clinically validated techniques as well as the state-of-the-art computer vision and machine learning techniques, researched right here in Boston at MIT and Harvard. Our models predict and detect body movement and language to infer dangerous mental states in real-time through AI, computer vision, and biophysiological signal analysis. Join us at the forefront of tech and medicine.
Our team is focused on mental and physical wellness, with experience in the Manufacturing, Oil and Gas, and the Healthcare Biotech industries.
Harvard Biomedical Informatics, MIT EECS, medical software, oil and gas, industrial manufacturing
UT Austin ECE and Economics, data engineer, manufacturing, safety tech
Get in touch to discuss how our solutions can be customized to your needs and workflows
77 Mass Ave, Cambridge, MA