32MP
Image Quality
1080P
Video with Sound
20M
Detection Range
4G LTE
Transmit Options
2.0"TFT
Color Screen
0.2s
Trigger Speed
940nm
Infrared Technology
IP66
Weatherproof
GPS
Location Pin
| Sensor | 5 Megapixels CMOS |
| Aspect Ratio | 4:3 |
| DFOV | 60°or 100° |
| F No. | F2.0 or F2.4 |
| 4G Module | LTE Cat1；4G |
| GPS | Support |
| LCD | 2.0” TFT |
| Resolution | 320x240 |
| Day Mode | Color |
| Night Mode | Black and White |
| Stored Photo Size | 5M-2560x1920 8M-3264×2448 12M-4032×3024 24M-5632×4224 32M-6528×4896 |
| Send Photo Size | 640x480 |
| HD Photo Request | 1920x1440 |
| Multi-shot | 1P/2P/3P/4P/5P |
| File Format | .JPG |
| Stored Video Size | HD-1280×720(10/15s) FHD-1920×1080(10/15s) |
| Send Video Size | HD-1280×720(3s) FHD-1920×1080(3s) |
| HD Video Appointment | HD-1280×720(10/15s) FHD-1920×1080(10/15s) |
| File Format | .MP4 |
| SD Card Update | Support |
| OTA Update | Support |
| USB Update | N/A |
| Local Storage | SD Card：8GB~128GB. Formatting SD Cards Process is required for SD cards over 32GB |
| Cloud Storage | Image Storage Period • Free Plan — Valid for 30 days • Monthly/Annual Plan — Valid for 365 days Note: The cloud storage validity period is calculated as upload date + plan validity period. |
| Name | “Trailcam Ace” |
| iOS/Android System | Support |
| PIR | PIR Sensor：Digital PIR PIR Sensitivity：L1 to L9 Range：Maximum support of 20m Detection Angle：60° Trigger Speed：Almost 400ms |
| Light Sensor | Support |
| Temperature | Support |
| Microphone | Support |
| Speaker | N/A |
| SD Card | Standard SD Card Slot |
| SIM Card | Standard SIM Card Slot |
| USB | Standard Type-C Port |
| DC Port | 4.4mm×1.6mm DC Port |
| Remote Control | Support |
| MSDC | Support |
| DC Supply | DC 12V-2A Adapter |
| Battery Supply | 12pcs；AA Battery |
| Switch | 1pcs；ON/SETUP/OFF |
| Key | 6pcs；MENU/UP/DOWN/LEFT/RIGHT/OK |
| Camera (Without Antenna) | 152mmx116mmx72mm |
| Antenna | 185mmx33mmx14mm |
| Camera weight (without Antenna) |
363g |
| Antenna Weight | 40g |
| Package size | 202mmx122mmx92mm |
| Package weight | 650g |
| Outer Carton Dimensions | 50.8cmx41.5cmx21.5cm |
| Outer Carton Gross Weight | 11.4kg |
| Operating Temperature | -20℃-55℃ |
| Storage temperature | -25℃-60℃ |
| Operation Humidity | 5% - 90% |
| Storage Humidity | 40% - 60% |
| Waterproof spec | IP66 |
| Certification | CE/ FCC/ RoHS/ IP66 |
Willfine delivers full-stack capability — from hardware and Edge AI to connectivity, cloud, and applications — enabling partners to launch intelligent, efficient, and reliable outdoor imaging products and services.
Full-Stack R&D and In-House Design— From hardware and mechanical design to firmware, AI algorithms, and cloud platforms, everything is developed in-house for greater product consistency and faster iteration.
Edge-to-Cloud Integration — We provide integrated solutions from front-end devices to backend platforms, reducing development complexity and integration costs.
Field-Proven Reliability— fOur products are extensively tested in demanding outdoor conditions to ensure long-term stability, durability, and reliability.
Fast Customization & Scalable Delivery — We support deep ODM/OEM customization with fast response times and scalable manufacturing capabilities.
We are not simply adding AI to traditional outdoor devices. We are redefining outdoor imaging products from the ground up with AI at the core.
Willfine specialize in building intelligent outdoor imaging systems designed for real-world environments, combining AI technology, edge computing, and global connectivity to deliver reliable, efficient, and scalable solutions for hunting, wildlife observation, nature monitoring, and outdoor security.
Unlike AI products designed mainly for lab conditions, our systems are engineered from day one for demanding outdoor environments. From freezing mountains to humid forests, from ultra-long standby performance to remote data transmission, every detail is validated in real-world field conditions.
Our systems combine Edge AI and Cloud AI into a unified architecture, enabling real-time on-device intelligence together with powerful cloud-based analysis.
AI at the Edge — The device itself can perform multiple intelligent recognition and analysis tasks, including:Object Detection、Image Recognition、Behavior Analysis、Low-Power, High-Efficiency AI Processing. Edge computing significantly reduces false triggers, minimizes unnecessary data transmission, and improves battery efficiency.
AI in the Cloud— The cloud platform further enables:AI Model Training & Optimization、Data Management & Insights、Visualization & Real-Time Alerts. The collaboration between edge devices and cloud services helps customers rapidly build a complete AI-powered outdoor imaging ecosystem.1
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