Core parameters of the product
8×AA batteries / DC 12V-2A
Core strengths
32MP Stunning Image Quality
2.4-inch Large Color Screen — Faster, More Intuitive Setup On-Site
Trailcam Ace App + OTA Updates
Built-in Color LCD — Easy Setup & On-Screen Preview
Always Connected — Auto Carrier Selection Across 140+ Networks
Product Specifications
| Sensor | 4 Mega Pixels Color CMOS |
| EffectivePixels | 2688× 1520;16:9 |
| LCDScreen | 2.4” TFT, RGB |
| DFOV | 60° |
| Aperture | F=2.0/DFOV=100° ; F=2.4// Auto IR-Cut-Remove (at night) |
| Wireless Module | LTE Cat.4 module; 2G & 3G networks are also supported in some countries. |
| Trigger Time | 0.2s |
| Day Mode | Color |
| Night Mode | Black-and-White |
| Capture Mode | Photo/Video/Photo+Video |
| Time Lapse | Support |
| Stored Photo Size | 8MP/12MP/24MP =3840x2160/4608x2592/6144x3456 |
| Send Photo Size | Small/ Bigger/Original (640x360/1920x1080/Original) |
| Multi-shot | 1P-5P (Only the second photo is sent by default for continuous shooting) |
| File Format | JPEG |
| Video resolution | FHD (1920x1080), HD (1280x720), WVGA(848x480) |
| Video Length | 5/10/15/20/30/40/50/59s |
| Send Video Length | WVGA&HD support 5/10s;FHD only support 5s |
| File Format | MOV |
| SD Card Update | Support |
| OTA Update | Support |
| Local Storage | SD Card:8GB-128GB (Require formatting for 64GB & 128GB) |
| SD Card cycle | ON/OFF |
| Name | “Trailcam Ace” or Customized App |
| iOS/Android System | Support |
| PIR | Angle:45°/80°; Range: 20m (65feet) |
| Day& Night Sensor | Support |
| Temperature | Support |
| SD Card | Standard SD Card Slot |
| SIM Card | Standard SIM Card Slot |
| USB Port | Type-C |
| DC Port | 4.4mm*1.6mm |
| Remote Control | Support |
| GPS | Support |
| Battery Supply | 8 AA |
| DC Supply | 12V-2A Adapter |
| Stand-by Current | 0.165mA |
| Stand-by Time | 6 months |
| Auto Power Off | In Test mode, camera will automatically power off in 3 mins if there is no keypad touching. |
| IR LED | 60pcs LED, 940nm-IR LED |
| Weight | 260g |
| Dimensions | 128mm*96mm*76mm |
| Waterproof spec | IP66 |
| Operating Temperature | -20℃-60℃ |
| Storage temperature | -25℃-65℃ |
| Operation Humidity | 5% - 90% |
| Storage Humidity | 40% - 60% |
| Certification | FCC;CE;RoHs |
Beyond Manufacturing, We Deliver Value
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.
Four Core Values
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.

AI Native Outdoor Imaging
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.
Built for the real world. Designed for the outdoors.
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.
Edge AI + Cloud AI Integrated Architecture
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
