Samsara
AI / ML EngineerAppliedAug 6, 2026

Correct phone-distraction false alerts by camera segment

A safety alert can lose value when it confuses a visual condition with risky behavior.

Improving precision must not quietly remove the cases that matter most.

My team is spending too much time proving an alert wrong before we can coach what’s real.

Fikirte Ochieng · Director of Driver Safety

Runs a safety-review program for a utility fleet with varied vehicle cabins and camera mounts.

What pulls against what

  • precision recovery vs. recall protection
  • richer evidence vs. video-data restraint
  • model improvement vs. edge-runtime limits
  • fast replacement vs. diagnosable system behavior

What is at stake

If disputed alerts keep rising, safety teams may stop trusting a category designed to prevent serious incidents

Why Samsara

At Samsara, alert credibility often determines whether safety teams keep prevention workflows active.

Written for

Applied ML EngineerComputer Vision EngineerResponsible AI Practitioner

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.