Real-Time Intelligence for Every Station, Every Worker, Every Shift.
Safari AI connects to your existing cameras to deliver live staff detection, engagement analytics, and dynamic staffing insights across your manufacturing and repair operations. No construction, live in under two weeks.
Turn every camera feed into a decision your team can act on.
Staff Detection
Live presence per station to catch gaps before output drops.
- Flag unmanned stations within seconds
- Verify headcount matches scheduled coverage
Staff Engagement Analytics
Activity levels per station to spot drops the same shift.
- Trigger coaching before engagement hurts output
- Identify chronically underperforming stations
Dynamic Staff Operations
Verified workstation data for compensation and recognition.
- Replace subjective reviews with continuous verified data
- Export performance records for HR and payroll
Production Line Throughput
Units per station vs daily targets, updated in real time.
- Recover pace the same shift when output falls behind
- Pinpoint bottleneck stations before the next shift
Floor Occupancy and Layout
Worker distribution to put labor where it's needed.
- Reallocate from low-demand areas to bottlenecks live
- Inform layout redesigns with occupancy patterns
Shift-Level Reporting
Output and engagement by shift for evidence-based coaching.
- Compare shifts to spot patterns and drive improvements
- Back coaching conversations with objective data
Every view your operations team needs, live.
From station-level staff engagement to shift-wide throughput tracking, Safari AI surfaces the right data at the right moment and tells your team exactly what to do.
Know which stations are unstaffed or understaffed before production output drops.
Verify worker presence at every station in real time. When a station goes unmanned or drops below its required headcount, your team receives an immediate alert with the station, duration, and a specific action.
- Per-station presence verified throughout every shift
- Unstaffed alerts dispatched to supervisors within seconds
- Actual vs scheduled headcount comparison by area and shift
- Shift-end staffing log for compliance and HR reporting
Identify productivity drops the same shift and intervene before output is lost.
Monitor worker activity at every station in real time. When engagement drops below your benchmark, supervisors receive a specific coaching recommendation rather than discovering the issue at end-of-day review.
- Per-station engagement score updated throughout each shift
- Low-engagement alerts with coaching recommendations for supervisors
- Station trend to identify chronic underperformance vs one-off drops
- Shift-over-shift comparison for scheduling and training decisions
Back every compensation and recognition decision with verified workstation data.
Track individual seat occupancy and engagement at the workstation level. When performance data is objective and continuous, compensation decisions, recognition programs, and reviews become faster, fairer, and more defensible.
- Per-worker seat occupancy and engagement verified every shift
- Individual performance scores generated automatically for review
- High-performer identification to support recognition programs
- Exportable records for HR, payroll, and compliance documentation
Know which stations are falling behind daily targets and recover throughput the same shift.
Track unit output and cycle times at each station. When production pace falls below target, your team gets a specific staffing or workflow recommendation to recover output before the shift ends.
- Per-station units-per-hour updated throughout every shift
- Throughput drop alerts with redeployment recommendations for supervisors
- Daily total vs target with end-of-shift forecast
- Shift-over-shift comparison to drive continuous improvement
Guessing is costing you production throughput, labor efficiency, and worker recognition.
Most IT and electronics manufacturing operations rely on manual station checks or supervisor observations. By the time a performance issue is identified, the production target has already been missed.
- Unmanned stations undetected until throughput has already dropped
- Engagement and productivity assessed by observation, not verified continuous data
- Compensation and recognition programs undermined by subjective or delayed data
- Throughput gaps found at end of shift with no time left to recover them
Validated against manual ground-truth counts at your deployment. If any camera view underperforms, we retune at no cost before you go live.
Leverage your existing cameras. No construction. Live in under two weeks.
Camera Review
We assess your existing CCTV or IP camera feeds remotely. Compatible views proceed; any incompatible ones are flagged before any commitment.
On-Prem Deployment
A compact server is installed on-site and connected to your camera streams. All video is processed locally. Nothing leaves your network.
Calibrate and Go Live
Models are validated against manual counts at your location. Once accuracy is confirmed, you are live with real-time dashboards and API access from day one.
How leading IT and electronics operators use Safari AI to drive decisions.
See exactly what your cameras can do.
Evaluate Safari AI on your existing camera infrastructure for 30 days. No credit card, no commitment.
30-day free pilot · No credit card required · Uses your existing cameras · Video processed on-premise
Frequently Asked Questions
How accurate is Safari AI's footfall counting?
Safari AI delivers 99%+ accuracy on pedestrian and footfall counts across indoor and outdoor environments. Accuracy is validated against manual ground-truth counts during deployment. If a camera view underperforms, we retune the model to your specific environment before you go live, at no additional cost.
Do I need to replace my cameras to use Safari AI?
No. Safari AI works with the CCTV and IP cameras you already have. No rip-and-replace, no construction, no re-wiring. An on-premise server is installed to process video locally; your existing camera infrastructure stays exactly as it is.
How long does Safari AI deployment take?
Most customers are live within days to a few weeks. After a camera compatibility review, we install the on-prem server, connect camera feeds, calibrate the models, and validate accuracy against your baselines before going live.
Can Safari AI handle high-density crowds?
Yes. Safari AI is built for high-density venues — theme parks, NBA and NHL arenas, outlet centers, and stadium concourses. Models handle occlusion, overlapping visitors, and non-linear movement that defeats traditional beam-break sensors. Clients include LEGOLAND, Charlotte Hornets, and Calgary Flames.
Can Safari AI integrate with Tableau, Power BI, Snowflake, or our POS?
Yes. Footfall counts and analytics are available via live dashboards, scheduled exports, and a REST API. You can pipe data into Tableau, Power BI, Snowflake, your POS, or any internal system. Most customers run Safari AI alongside existing BI and RevOps workflows.
How does Safari AI pricing work?
Pricing is per-camera and scales with the number of cameras, sites, and measurement types. Pedestrian counts, occupancy, dwell time, queue wait time, and more can be layered on the same feeds. A free 30-day pilot with no credit card required is available so you can validate accuracy and ROI before committing.