Product
The reliability layer for multi-object real-time tracking in your AI vision systems
The reliability layer for multi-object real-time tracking in your AI vision systems
Born from our R&D in uncertainty quantification, V-Tracking is a learning-free tracking module, validated in a real operational environment (TRL9).
Born from our R&D in uncertainty quantification, V-Tracking is a learning-free tracking module, validated in a real operational environment (TRL9).
TrustalAI V-Tracking tracks every object in real time with unmatched reliability for optimal decision-making.
Trackers perform well under nominal conditions. However, as the scene becomes more crowded, several factors degrade tracking and weaken downstream decisions:
Robust, non-deterministic
Without retraining
Up to 2.1 times more tracked objects
Up to 2.1 times more tracked objects
reminder
precision
reminder
precision
localization errors
localization errors
critical false positives
critical false positives
identity changes
identity changes
Our solution addresses:
Occlusions & object crossings
Tracking is lost when trajectories overlap
Identity switches
The object reappears under another label
Identity switches
The object reappears under another label
Dense scenes & numerous objects
The more crowded the scene gets, the more the tracking degrades
Persistent false positives
A fake object is installed and pollutes the entire scene.
Persistent false positives
A fake object is installed and pollutes the entire scene.
Before TrustalAI
Detection stream
Client AI Model
Tracking
Unreliable
downstream
decision
No sense of tracking
reliability
Before TrustalAI
Detection stream
Client AI Model
Tracking
Unreliable
downstream
decision
No sense of tracking
reliability
After TrustalAI
Detection stream
Client AI Model
Tracking
Context
data
(optional)
Reliability
metrics
Highly reliable
downstream
decision
Enhanced tracking with reliability thanks to TrustalAI
After TrustalAI
Detection stream
Client AI Model
Tracking
Context
data
(optional)
Reliability
metrics
Highly reliable
downstream
decision
Enhanced tracking with reliability thanks to TrustalAI
AI predicts, TrustalAI Vision secures parameters, and TrustalAI V-Tracking tracks objects with unmatched performance.
The problem
Monitoring is evaluated after the fact, not in real time
Today, trackers optimize average performance; none measure tracking reliability on an object-by-object basis at the moment it informs a decision.
Teams focus on aggregated scores (overall recall, end-of-sequence metrics) rather than the operational reliability of each trajectory.
Monitoring tools replay sequences for ex-post analysis, which is useful for assessment, but they are not designed to characterize frame-by-frame tracking in real time.
Quantifying the reliability of real-time tracking is technically complex and research remains limited.
The problem
Monitoring is evaluated after the fact, not in real time
Today, trackers optimize average performance; none measure tracking reliability on an object-by-object basis at the moment it informs a decision.
Teams focus on aggregated scores (overall recall, end-of-sequence metrics) rather than the operational reliability of each trajectory.
Monitoring tools replay sequences for ex-post analysis, which is useful for assessment, but they are not designed to characterize frame-by-frame tracking in real time.
Quantifying the reliability of real-time tracking is technically complex and research remains limited.
Prediction
Opportunity
The missing element
TrustalAI adds the missing element: tracking reliability by analyzing each trajectory, in real-time, in plug & play, and without retraining.
Opportunity
The missing element
TrustalAI adds the missing element: tracking reliability by analyzing each trajectory, in real-time, in plug & play, and without retraining.
Why us?
Why us, why now?
We fulfill a strategic European need for AI reliability.
We are responding to a global demand: AI must be controllable.
We combine cutting-edge mastery of AI vision with deep scientific expertise in metrology and uncertainty quantification, applied here to real-time tracking.
Why us?
Why us, why now?
We fulfill a strategic European need for AI reliability.
We are responding to a global demand: AI must be controllable.
We combine cutting-edge mastery of AI vision with deep scientific expertise in metrology and uncertainty quantification, applied here to real-time tracking.
Compatible with your existing architecture
Works with all vision AIs (including black box)
Learning-free: no retraining, no additional annotation
Activates on your existing detection feed
Available Embedded SDK / Edge / Cloud API
Real-time: edge <20 ms / cloud <80 ms (<100 ms)
No change to your algorithmic heart
Works with all vision AIs (including black box)
Learning-free: no retraining, no additional annotation
Activates on your existing detection feed
Available Embedded SDK / Edge / Cloud API
Real-time: edge <20 ms / cloud <80 ms (<100 ms)
No change to your algorithmic heart