Evidence - SAT

Driven by data. Proven in the field.

SAT’s approach to safety

Data from validation campaigns and pilot studies indicates contributions to safer workplaces and roads.

Enabled by human-centred design and rigorous testing, SAT’s solutions monitor attention, fatigue, and potential risks in real time — supporting incident preventionbefore they occur.

Engineered to be bulletproof.

Software is built with a state-of-the-art toolchain (secure coding, automated testing, CI/CD) by a seasoned R&D and product engineering team. The lifecycle is tightly linked to CRM and go-to-market workflows so field feedback flows directly into the roadmap and releases.

Sharing a common goal.

SAT is committed to supporting organizations towards a shared goal: zero accidents, zero harm, and smarter safety for every operator in motion.

Explore our Safety Validation Framework

Controlled lab tests, field pilots with professional drivers, and continuous system optimization ensure that each release is scientifically and objectively validated, operationally reliable, and ready for real-world deployment.

Safety Can’t Wait

SAT maintains that safety must be proactive — not reactive.

The mission is to tackle risk before it happens, using advanced sensing technologies, AI, and behavioral analytics to safeguard workers across transport, logistics, and energy sectors.From fatigue and attention monitoring to fall detection and emergency response, SAT technologies are redefining how organizations protect their people every day.

2.9

work-related deaths per year (*)

395

non-fatal work-related injuries per year (*)

1.19

road traffic deaths per year (**)

2.4

global economic burden of occupational accidents and diseases per year (*)

80

of companies report increasing psychosocial risks linked to fatigue, stress, and distraction

(*) ILO (International Labour Organization)
(**) WHO (World Health Organization)

Making work and roads safer — today

SAT solutions empower companies to act in real time — detecting early warning signs, triggering instant alerts, and generating actionable insights.Combining data, science, and human-centred design moves organizations closer to zero harm, zero delay, and zero compromise on safety.

Sleep Prediction

A two-step validation campaign combined laboratory tests and realistic driving simulations using state-of-the-art dynamic vehicle simulators.
The study included comprehensive sessions totaling more than 160 participants, involving outliers (e.g., bradycardia, beta-blockers).

The solution has demonstrated its correct functioning in the presence of true positives.

Pilots

Thousands of hours logged in simulated and real-world conditions have refined the technology through extensive validation campaigns.

The solution was further tested in multiple pilot studies with major car makers, transportation companies and professional drivers, demonstrating its robustness and reliability in diverse, real-life scenarios.

Driven by data.
Proven by experience.

5000

More than 5.000 hours of monitored driving sessions

320

More than 320.000 km across diverse routes and conditions

3

3+ pilot campaigns involving 10 Transportation Companies (both logistic and public transportation) and 100 Professional drivers involved

Recent publications

Latest updates

“Automatic Detection and Prediction of the Transition Between the Behavioural States of a Subject Through a Wearable CPS”

Groppo, S., Armengaud, E., Pugliese, L., Violante, M., Garramone, L. (2021). - CPS. In: Zachäus, C., Meyer, G. (eds) Intelligent System Solutions for Auto Mobility and Beyond. AMAA 2020. Lecture Notes in Mobility. Springer, Cham.

“A Novel Algorithm for Detecting the Drowsiness Onset in Real-Time”

L. Pugliese, M. Violante and S. Groppo - IEEE Access, vol. 10, pp. 42601-42606, 2022.

“Real-time sleep prediction using a virtual sensor to estimate Heart Rate Variability through Respiratory Rate”

L. Pugliese, M. Violante and S. Groppo, "Real-time sleep prediction using a virtual sensor to estimate Heart Rate Variability through Respiratory Rate," 2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT), Washington DC, DC, USA, 2022, pp. 1-4.

“Real-time Sleep Prediction Algorithm using Commercial Off the Shelf Wearable Devices”

L. Pugliese, M. Violante and R. Groppo, "Real-time Sleep Prediction Algorithm using Commercial Off the Shelf Wearable Devices," 2023 IEEE Smart World Congress (SWC), Portsmouth, United Kingdom, 2023, pp. 634-638.

“Exploring the Feasibility of Sleep Quality Evaluation with a Reduced Parameter Set”

M. Guagnano, S. Groppo, L. Pugliese and M. Violante, "Exploring the Feasibility of Sleep Quality Evaluation with a Reduced Parameter Set," 2023 IEEE Smart World Congress (SWC), Portsmouth, United Kingdom, 2023, pp. 904-909.

“A Novel Real-Time Redundant System For Aiding Drivers To Increase Their Attention Level”

J. Sini, L. Pugliese, P. D’Agostino, M. Violante and R. Groppo, "A Novel Real-Time Redundant System For Aiding Drivers To Increase Their Attention Level," 2023 IEEE Smart World Congress (SWC), Portsmouth, United Kingdom, 2023, pp. 898-903.

“To be or not to be… awake? A comparison of subjective and objective methods for drowsiness detection in drivers”

S. Groppo, M. Guagnano, L. Pugliese, J. Sini and M. Violante - 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON), Porto, Portugal, 2024, pp. 684-688.

“Towards In-Cabin Monitoring: A Preliminary Study on Sensors Data Collection and Analysis”

J. Sini, L. Pugliese, S. Groppo, M. Guagnano, and M. Violante - 2023, arXiv:2309.11890.

“On-the-Fly Sleep Scoring Algorithm with Heart Rate, RR Intervals and Accelerometer as Input”

M. Guagnano, S. Groppo, L. Pugliese, and M. Violante - Sensors 2025, no. 7: 2141.

“Real-Time Driving Risk Assessment Using LSTM-attention and XGBoost with Physiological and Driving Behavior Data”

Y. Wang; M. Guagnano; H. Taniguchi; N. Nagatani; H. Ono; S. Shinkawa; S. Miyamoto; K. Fujiu; M. Takai; M. Violante; S. Mitsuzawa. - 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Vienna, Austria, 2025, pp. 3468-3474.

"Short-Term Future Prediction of Driving Risk Using XGBoost with Personal, Physiological, Biological, and Driving Behavior Data"

M. Guagnano; Y. Wang; H. Taniguchi; N. Nagatani; H. Ono; S. Shinkawa - 2025 18th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Qingdao, China, 2025, pp. 1-5.

"Utilizing commercial off-the-shelf smartwatches in a real-time drowsiness detection system"

Pugliese, Luigi & Violante, Massimo & Groppo, R. & Noce, S.. (2024). Utilizing commercial off-the-shelf smartwatches in a real-time drowsiness detection system. Sleep Medicine. 115. 80. 10.1016/j.sleep.2023.11.252.

"Rule-based Sleep-Apnea detection algorithm"

L. Pugliese, M. Guagnano, S. Groppo, M. Violante and R. Groppo - 2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI), Monopoli (Bari), Italy, 2023, pp. 251-255.

"Innovative sleep prediction and fatigue monitoring through smart vital sensing"

R. Groppo, InCabin Europe 2024, Barcelona

"Innovative InCabin perception and sleep prediction through smart vital sensing"

R. Groppo, AutoSens 2024, Hefei (China)

"Approaching sleep and fatigue analysis from a different angle with RADAR systems"

R. Groppo, InCabin 2025, Detroit (US)

Man Down

The validation campaign combined laboratory tests using the instrumented dummy — simulating realistic fall dynamics — with daily-life activity recordings. The campaign included, so far, over 300 recorded events, from frontal, lateral, and backward falls to normal movement patterns.

BAC - Blood Alcohol Concentration

Validated across controlled laboratory sessions and real-life drinking scenarios with a consistent number of volunteers and based on a rigorous test-protocol defined by SAT medical staff. Each session included continuous physiological monitoring and reference BrAC measurements.

Selected Organizations

Recognitions

November 2023

Roadmap signals

On-road pilots and upcoming signals

SAT, Garmin Italy together with AIR PULLMAN SPA, Flix Italia, Arriva Italia, Autostradale S.r.l, and Wayla Italia, have been running an innovative pilot study to improve driver safety and well-being. Official KOM took place at the Regione Lombardia central office in Milano on May 2026. Drivers used FleetPREDICT, a system that, through Garmin smartwatches monitors fatigue and predicts sleep events in real time, promoting safer and more conscious driving. The POC is focused on regional and national public transport services provided by the selected companies.