Lytx announced an integration with WasteVision AI that brings waste-specific artificial intelligence (AI) capabilities to existing multi-camera systems used by waste and recycling fleets.

The integration automatically identifies overflowing containers, recycling contamination, completed service events, and route activity. The goal is to help waste haulers document service, improve billing accuracy, and recover revenue that might otherwise go uncollected.

The solution is available now to Lytx and WasteVision AI customers.

Turning Fleet Camera Footage Into Billing Data

The integration uses snapshots from Lytx waste truck cameras to identify potential overflow and contamination events and connect them to individual customer accounts.

Each detected event generates visual documentation that can support billing, customer communication, and dispute resolution.

Because the system works with existing Lytx multi-camera equipment, waste fleets can add these capabilities without installing new hardware on every truck or requiring drivers to change their daily routines. The system also does not require 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.”

What the Integration Can Track

The combined technology provides several capabilities for waste and recycling fleet operations.

• Overflow detection: Identifies overflowing commercial and residential containers and creates visual documentation for billing review.
• Contamination detection: Flags recycling contamination to help fleets educate customers, enforce policies, and document applicable fees.
• Service verification: Confirms completed service and provides documentation to help resolve customer questions or disputes.
• Route verification: Connects route activity with customer account information.
• Camera monitoring: WasteVision AI's Capture Score alerts operations teams when cameras are obstructed or offline.
• Back-office integration: An open API allows event information to be shared with dispatch, billing, and other fleet management systems in near real time.

Detection thresholds can also be configured by route or district to account for different operating requirements and local billing policies. Updates can be applied remotely.

Early Pilot Identifies More Than 1,400 Billable Accounts

In a six-week pilot involving 20 trucks across five districts, WasteVision AI reported identifying 47% more overflow events than a competing solution, according to Lytx. The pilot also flagged more than 1,400 unique accounts with potentially billable events.

Based on its projections, WasteVision AI estimates the integration could generate a return on investment of five to 10 times or more per truck per month.

The company estimates potential monthly revenue recovery of $5,000 to $10,000 or more per truck from overflow fees and an additional $1,000 to $3,000 from contamination fees.

These figures are company projections, not verified revenue recovered during the pilot. Actual results will depend on fleet operations, customer contracts, fee structures, route composition, and system configuration.

“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 is designed to help waste fleets use camera technology already installed on their vehicles for additional operational and financial purposes beyond traditional video-based safety monitoring.