Retail environments are often large public spaces with different areas inside and out. Owners are looking to balance the desire to provide a warm and welcoming experience for customers, with the need to ensure a safe and secure environment for the public and staff. 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.
Increasingly staff and customers are also concerned about the privacy and potential misuse of surveillance data. The icetana solution uses the underlying pixel and motion flow of every scene meaning that personal characteristics such as race, gender, or ethnicity play no part in the underlying analysis.
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 Retail Environment
|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
|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 indication of potential event
icetana Use Cases
|TYPE OF ACITIVTY||IMPACT|
|Violence / gang activity||Attacks on shoppers or staff, or gang related activity seriously impact on reputation and shopper traffic.|
Tenants may be unwilling to renew leases in a high crime environment if staff safety cannot be guaranteed.
|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 or death, there is also a financial cost from lost time, insurance surcharges and legal costs and penalties.|
|Vehicle security||Shoppers may be attacked on return to their vehicles. Vehicle break-ins damage the reputation of the mall.|
|Fires / water damage||Fires or water damage from leaks may result in substantial and costly plant damage, stock damage or shutdown of part of the retail space.|
Fires can also result in a loss of life.
|Camera tampering or camera obscured||Loss of footage. Potential precursor to event such as theft or sabotage.|
|Objects of interest entering secure facility||Contractors arriving with ladders or equipment may leave items behind which interrupt production or cause a health and safety issue.|
In secure facilities, sabotage or planting incendiary / explosive devices may be an issue.
|Medical incidents||Person may not get assistance in time, or not be noticed.|