Details
Features
- Direct ToF technology with high sensitivity SPAD detection
- 8x8 configurable multi-zone configuration with multi-object detection
- Adjustable field of view (up to 63° diagonal)
- Fast Time-to-Digital Converter (TDC) architecture
- Sub-nanosecond light pulse
- 10 – 5000mm distance sensing @ 30Hz
- On-chip histogram processing
- 940nm VCSEL Class 1 Eye Safety
- High performance on-chip sunlight rejection filter and algorithm
- Small modular OLGA 2.0mm x 4.6mm x 1.4mm package
Benefits
- Delivers high SNR, wide dynamic range and no multi-path reflections
- Enables dark and sunlight environment distance measurement within ±5%
- Adaptable FoV for custom scene matching
- Provides best-in-class resolution ranging mode detection sensing
- Enables accurate distance measurements
- Provides high accuracy, greater distance between cover glass, dynamic cover glass calibration, dirt or smudge removal and crosstalk compensation
- Eye-safety circuitry stops VCSEL driver if VCSEL fault occurs
- Optical filters with algorithm support enables high ambient light resilience
- Reduced board space requirements, enables low-profile system designs in restricted space Industrial designs
Parameters
Sensor zones
multi
Number of detection zones
64
Detection distance
max.
500
cm
Wafer level optical filters
Yes
Field of view
63
°
Operating ambient temperature
min.
-40
°C
max.
85
°C
Supply voltage
min.
2.7
V
max.
3.5
V
3.0
V
Wavelength
940 nm
Package
OLGA12
Package dimension
l
4.6
mm
w
2.0
mm
h
1.4
mm
Interface
input
I²C
output
I²C
Live Webinar: High-Resolution Multi-Zone Sensing with the TMF8829 dToF Sensor
Discover how precise 3D depth sensing can improve presence detection and spatial awareness in real-world designs, from robotics and logistics to mobile, wearables and other smart appliances.
What you’ll gain:
- A clear introduction to direct Time-of-Flight sensing technology
- A deep dive in multi-zone dToF 3D depth sensing with insight into the TMF8829 sensor: up to 48×32 pixels, 11 m range, and 80° field of view
- Understanding of on-chip processing for distance, confidence, and ambient light data
- Examples of multi-object detection and AI-ready depth data in practice
Where it’s used:
- Depth-based object detection and scene mapping
- Gesture control for headphones and wearables
- Smart appliances such as lawn movers or coffee machines
- Industrial robotics, logistics, and camera autofocuus
Subscribers will get access to additional technical resources. Take your chance to talk to our expert David Smith in our live webinar on January 14, 2026.
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