Lytx® Inc. announced a new integration with WasteVision AI today. Lytx is the industry leader in AI-powered fleet management. WasteVision AI leads the Operational AI space for waste and recycling. The partnership adds overflow detection, recycling contamination detection, and service verification to Lytx multi-camera systems. As a result, waste and recycling fleets can identify recoverable revenue. The integration is available now to Lytx and WasteVision AI customers.
The integration takes advantage of Lytx waste truck camera feed snapshots. From these images it identifies overflowing containers and detects contamination. It also checks routes and service finished. In addition, it links each event to the responsible customer account. It then produces documentation to allow for accurate billing. Besides, this evidence speeds up the solving of the dispute. Drivers don’t need to change their workflow. And the system doesn’t need continuous video streaming.
“Waste fleets already rely on Lytx technology to help protect drivers and improve operations,” said Chris Cabrera, CEO of Lytx. “This integration extends the value of that investment by turning fleet video into timely business intelligence that can help customers document service, resolve issues faster, and capture revenue that might otherwise be missed. Together with WasteVision AI, we are helping fleets get more from the systems they already have without adding complexity for drivers.”
Built for Existing Fleet Operations
Lytx built theoverflow detection to integrate with its existing multi-camera systems. As such, fleets can add waste-specific artificial intelligence without putting new hardware on each vehicle. Operators can also set detection thresholds either by route or by district. The flexibility allows teams to adhere to local operational and billing rules. Also, the system is remotely updated to keep it up to date.
“Combining WasteVision AI’s waste-specific detection capabilities with Lytx’s established multi-camera platform gives haulers a practical path to automate overflow and contamination identification at scale,” said Barry Saunders, Co-Founder of WasteVision AI. “The integration connects each detected event to the right account and provides the evidence teams need to act quickly, helping turn everyday routes into measurable operational and financial value.”
The integration offers several key capabilities:
- Overflow detection: Detects overflowing commercial and residential containers. It also creates visual documentation for review and billing processes.
- Detection of contamination It detects contamination events . Then fleets can train their customers, enforce policies and collect applicable fees.
- Service verification: It verifies that service has been performed. It also serves as proof that customer inquiries or disputes were resolved.
- Route validation: It connects route activity to account level data. It improves visibility and accountability.”
- Camera health monitoring: Operations teams are alerted when a camera is blocked or offline by WasteVision AI’s Capture Score. This reduces the possibility of false negatives.
- Open integration: An open API pushes event details to existing dispatch, billing and back-office systems in near real time.
Early Pilot Results Show Revenue Potential
The ioverflow detection integration was piloted for six weeks on 20 trucks in five districts. The pilot involved an existing customer of Lytx. During the test WasteVision AI detected 47% more overflow events than a competing solution. It also identified more than 1,400 unique billable accounts. Based on these results, WasteVision AI estimates a return on investment of 5x to 10x or more per truck per month. The company estimates overflow-fee recovery of $5,000 to $10,000 or more per truck per month. It also estimates contamination costs of $1,000 to $3,000 per truck per month. But actual results will vary. The result is influenced by fleet operations, customer contracts, pricing, route composition and deployment configuration.
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News Source: PRNewswire.com
