COMPUTER VISION IN PUBLIC TRANSPORTS
The public transport industry is a key player in redefining mobility and taking environmental issues into account, with notably the development of autonomous vehicles or multimodal transport. Indeed, public transport is considered to be the most reliable long-term solution to reducing pollution.
Thus, operators of these modes of transport must be able to guarantee a level of service corresponding to the height of these challenges. Yet, they still have difficulty controlling increasingly saturated transport networks, and managing planning, forecasting, maintenance, information, fraud, or malicious acts.
This is the turnover of the public transport industry in France in 2017.
GROWTH PER YEAR
in the global public transport market by 2020.
This is the loss of revenue due to fraud in France in 2016
In 2017, one theft out of 7 took place on public transport, and more than a third of them in the Île de France region. The fraud rate in France is on average 8.9%, compared to 3.1% in other major Western capitals.
- Identify a person using public transport fraudulently
- Prevent terrorist acts at operating sites
- Prevent the deliberate degradation of rolling stock and infrastructure
Detection of abandoned luggage and weapons
Send an intervention team at the slightest sign of suspicion and prevent a terrorist attack within your network.
Detection of unusual crowding or movement
Analyze in real time a dangerous gathering and intervene quickly.
Detection of intrusion into a prohibited area or storage area
Delays, train cancellations, and crowded wagons, cause inconvenience for public transport users : at rush hour in the RER A in Paris, there are on average between 4 and 6 passengers per square meter.
- Improve flow management in transit areas
- Adapt traffic according to demand
- Prevent delays due to setbacks
Accurately model the traffic to your operations site by site and adapt your resources accordingly.
Detection of lying down or falling persons
Respond more quickly to passenger accidents and avoid injuries and delays.
Detection of persons or obstacles on the tracks
In France, 59% of train delays are directly due to breakdowns attributable to the operator. Equipment failure is the primary cause of metro delays.
- Switch from corrective/reactive maintenance to predictive maintenance
- Know the state of deterioration of networks and rolling stock in real time
Detection of anomalies on network infrastructures
Develop a real-time mapping of the state of your networks, be they catenaries, pantographs, rails, switch systems, crossings, etc.
Visual inspection of rolling stock
Anticipate breakdowns and/or speed up troubleshooting operations by continuously inspecting your equipment.