Transport facilities can include airports, bus stations, train stations and vehicle maintenance areas, such as train yards. These locations are high profile and highly regulated where operators must be alert to anything that may be out of the ordinary. Using Artificial Intelligence and Machine Learning techniques, the icetana solution learns and filters out routine motion, showing only anomalous or unusual behaviour allowing operators to focus on events that matter and respond in real-time to both precursor activities and incidents.
Transport facilities also have specialised requirements to protect against health and safety incidents, process breaches and breaches of secure areas, and in this regard Video surveillance with analytics can play an important role as part of the suite of security tools used.
icetana allows operators to be alerted to potential issues in real-time helping mitigate potential physical and reputational risks to the institution. The solution has been implemented at over 35 sites on four continents, helping clients harness the rich data streams from their existing security networks and turning that data into improved situational awareness and deeper operational insights.
Key Challenges in a Transport Environment
| ISSUE | IMPACT |
|---|---|
| Lack of monitoring due to budget constraints / lack of staff | Critical events are missed Lack of response results in cameras being ignored, magnifying the number of security incidents |
| Security team has too many cameras to look at | Critical events are missed Operators can be overloaded and therefore be unable to work effectively |
| Large area to manage security, with possibility of events occurring anywhere | Lack of situational awareness can lead to slow security responses. |
| Cameras in controlled areas are triggered by routine events (birds etc.) | Cameras end up being ignored Critical events may end up being missed Attention is diverted away from important events |
| Too much video to review historical footage | Productivity impact as staff must be taken off other work to search through footage (time consuming and costly) |
| Lack of situational awareness, despite extensive camera networks | Unable to deploy security staff to problem spots in time. |
| Cameras may be obscured or tampered with | Loss of record of area of surveillance Precursor indictation of potential event |
icetana Use Cases
| TYPE OF ACITIVTY | IMPACT |
|---|---|
| Violence and terrorism | Attacks and fights may result in personal injury and staff turnover, or civil liability. Terrorism can cause loss of life and injury as well as massive disruption to vital infrastructure. |
| Vandalism | Damage to property and clean-up and rectification costs. This detracts from the appearance of the facility and perceptions of reputation. |
| Health, Safety and Environment issues | As well as the human cost of injury from trips, slips and falls, there is also a financial cost from lost time, insurance surcharges and legal costs and penalties. |
| Unauthorised access | Unauthorised access may be a precursor to vandalism, terrorism or theft. In addition, unauthorised access may be an issue in itself when the area is secure, which may result in a regulatory penalty. |
| Theft | Theft of cargo and personal items is disruptive and costly. |
| Camera tampering or camera obscured | Loss of footage. Potential precursor to event such as theft or sabotage. |