UWB vs AI Camera: Which Technology for Forklift Safety?
UWB tag-based systems vs AI camera solutions for forklift-pedestrian collision avoidance. Cost, installation, and effectiveness compared.
Forklift Safety Technology Choice: UWB Tags or AI Camera?
Forklift-pedestrian collision accidents are among the most serious workplace injuries in warehouse and production facilities. Two main technologies stand out for preventing these accidents: UWB (Ultra-Wideband) tag-based systems and AI camera solutions. Both have their strengths, but the application conditions determine the right technology.
Types of Forklift Proximity Detection Systems
Forklift proximity detection systems fall into four families: RFID tag readers, UWB tag positioning, radar or ultrasonic sensors, and AI cameras. The first two need every person to wear a tag; the last two detect people without anything worn, and only the AI camera can tell a person from a rack, a pallet or another vehicle.
| Attribute | RFID tags | UWB tags | Radar / ultrasonic | AI camera |
|---|---|---|---|---|
| Needs a tag on every person | Yes | Yes | No | No |
| Tells people apart from objects | Only tagged people | Only tagged people | No — any obstacle triggers | Yes — people, forklifts and objects are classified |
| Covers visitors and subcontractors | Only if tagged | Only if tagged | Yes | Yes |
| Works beyond line of sight | Yes | Yes | No | No |
| Infrastructure needed | Readers / antennas | Anchors across the site | Sensor on each forklift | Camera and power |
| Ongoing upkeep | Tag issue and replacement | Tag batteries, anchor calibration | Sensor cleaning and alignment | Lens cleaning, model updates |
| Other safety functions on the same device | No | No | No | Yes — PPE, zones, dwell time |
Whichever family you choose, the output is the same: a proximity alarm (light, buzzer or siren) for the driver and pedestrian, and optionally a slowdown signal to the forklift. The sections below compare the two options most plants shortlist — UWB tags and AI cameras — in detail.
How Does a UWB Tag-Based System Work?
A UWB system consists of three core components:
- Anchors: Fixed reference points mounted throughout the facility (every 15-30 meters)
- Tags: Small transmitter devices attached to workers and forklifts
- Software: A central platform that calculates tag positions for distance control
When the distance between a forklift and worker drops to a dangerous level, the system issues a warning or slows the forklift.
UWB System Strengths
- Centimeter-level positioning accuracy
- 3D position tracking
- Can work beyond line of sight (e.g., through walls)
UWB System Weaknesses
Tag compliance issues: Every worker, visitor, and subcontractor must wear a tag. In practice, workers who forget tags, refuse to wear them, or don't charge them remain unprotected. This problem grows at facilities with high personnel turnover.
Anchor infrastructure: Large facilities may require hundreds of anchor installations. Setup can take weeks and requires facility-wide cabling.
Metal environment issues: Radio signal reflections from metal surfaces can cause positioning errors. This is a serious disadvantage in steel and metal processing facilities.
Position-only: UWB systems only measure distance. They don't provide PPE monitoring, behavior analysis, or zone monitoring.
Maintenance burden: Tag batteries need regular replacement, anchors require calibration, and firmware needs updating.
How Does an AI Camera Solution Work?
An AI camera system analyzes camera imagery around forklifts in real time using deep learning models. It classifies humans, forklifts, and objects to calculate collision risk.
ISEE-CAM processes this technology with Edge AI directly on the camera — requiring no server or cloud connection.
AI Camera Solution Strengths
Tagless operation: No wearable devices needed. Visitors, subcontractors, and new employees are all automatically protected.
Multi-function: Forklift collision avoidance, PPE detection, zone monitoring, speed control, behavior analysis can be achieved on a single camera platform. No separate systems needed for each function.
Low infrastructure cost: No anchors, tags, or servers required. Camera mounting and power connection is sufficient.
Fast installation: ISEE-CAM is commissioned within hours without stopping production.
Automation integration: Connects directly to PLC/SCADA systems via OPC-UA, Modbus TCP, and REST API. When danger is detected, its outputs can trigger a forklift slow-down or stop through additional hardware on the truck.
Cost Comparison
| Cost Item | UWB System | AI Camera |
|---|---|---|
| Forklift hardware | Tag reader | Camera |
| Per worker | Tag (battery maintenance) | None |
| Infrastructure | Anchors (every 15-30m) | None |
| Server | Required | Not needed (Edge AI) |
| Installation time | Weeks | Hours |
| Additional functions | Separate system needed | Included (22+ modes) |
In terms of total cost of ownership (TCO), AI camera solutions provide clear cost advantages, especially at facilities needing multiple safety functions.
Which Technology Should I Choose?
UWB may be preferred: In small teams where tag compliance is achievable, when beyond-line-of-sight detection is needed.
AI Camera may be preferred: At facilities with heavy visitor and subcontractor traffic, when multiple safety functions are needed, when fast installation is desired, and in metal environments.
ISEE-CAM is actively used at major industrial facilities including Arcelik, Shell, Coca-Cola, and Tofas. With a free site survey, we can determine the most suitable solution for your facility together.