VCA Retail Video Analytics:
Protect Your People and Assets with the 4Ds Framework. Multi-layered security designed to Deter, Detect, Delay, and Disrupt.
Select Your Challenge
Deploy the 4Ds. Click an issue on the map below to see how we Deter, Detect, Delay, and Disrupt threats in real-time.
Retail Video Analytics Use Cases
VCA Analytics covers the full spectrum of retail challenges—from security to operations to customer experience. Each solution works with your existing cameras.
Retail self-scan fraud occurs when customers intentionally exploit self-checkout systems to avoid paying for selected items.
Shelf clearance occurs when an entire shelf—often containing high-value or fast-moving items—is emptied at once.
Facial recognition solutions, powered by VCA Applied Intelligence, use advanced AI to accurately identify and verify individuals based on facial features, helping retailers elevate security and streamline store operations.
VCA safeguards your operations from the floor to the dock, automating PPE compliance, forklift safety, and slip/trip/fall detection to prevent injuries, while utilising precision pallet tracking and cage tampering detection to eliminate internal theft and environmental hazards systematically.
Detect aggressive behaviour and colleague distress signals in real-time, enabling immediate intervention to protect colleagues safety.
VCA turns video into intelligence, supplementing loyalty data with footfall, heat mapping, and demographics to optimise customer navigation, dwell times, and queue impacts for peak performance.
& Cage Tampering
Uncover employee fraud at POS, in stockrooms, and during inventory processes with concealment detection and transaction verification.
Stop loss before it reaches the exit. VCA identifies item concealment, flags suspicious behaviour, and uncovers OCG crime patterns to shut down theft in real-time.
Detect intruders before they breach your building with virtual fencing, audio challenges, and vehicle trajectory monitoring for after-hours security.
Defend against fraudulent claims with automated floor hazard detection and pre-event evidence proving conditions were safe.
