What’s AOV solar security camera?
AOV 1.0
AOV 1.0 is an early version of Always on Video technology. Its core features and technical limitations are as follows:
1. Technical Principles and Architecture
- PIR Trigger Mechanism
Utilizes a Passive Infrared (PIR) sensor to detect thermal changes, which triggers the recording function. The device remains in a sleep state when no events are detected. - Delayed Recording Solution
Recording starts with a delay (typically 1-3 seconds) after an event is detected, leading to the loss of footage preceding the critical event.
2. Performance
| Metric | AOV 1.0 Solution |
|---|---|
| Standby Power Consumption | >100mW (in sleep state) |
| Recording Continuity | Significant gaps (relies on PIR trigger) |
| Detection Distance | <10 meters (PIR effective range) |
| False Alarm Rate | High (easily affected by ambient temperature) |
3. Typical Application Scenarios
- Fixed-Area Monitoring: Ideal for small-scale scenes like warehouse entrances and hallways, where it must be used in conjunction with an infrared illuminator.
- Low-Cost Deployment: Features low hardware costs, making it suitable for scenarios where recording integrity is not a high priority.
4. Technical Limitations
- Risk of Missed Events: PIR sensors cannot detect stationary targets or distant moving objects, leading to a missed event rate as high as 30%.
- Environmental Sensitivity: The sensitivity of the PIR sensor decreases in high or low-temperature environments, significantly increasing the false alarm rate.
As the starting point of this technology’s evolution, AOV 1.0 has been superseded by the AI vision solutions of AOV 2.0/3.0, which achieve superior performance through low-frame-rate, always-on recording and intelligent perception.
AOV 2.0
AOV 2.0 achieves a generational leap in low power consumption, intelligent perception, and scene adaptability through chip-level power optimization and AI algorithm upgrades, making it the mainstream solution in the smart vision field today.
1. Upgraded Technical Architecture
- Dual-Core Heterogeneous Design
Typically features a dual-core architecture that supports dual-stream video processing, with a built-in AI engine to achieve a dynamic balance between low power consumption and high performance. - Dynamic Frame Rate Control
Operates at an ultra-low frame rate of 0.5-1 fps (power consumption <40mW) when no event is detected. Upon detecting a target, it switches to 25 fps full HD recording within 0.1 seconds, reducing wake-up latency by 50% compared to version 1.0.
2. Performance
| Metric | AOV 1.0 Solution | AOV 2.0 Solution |
|---|---|---|
| Standby Power Consumption | >100mW | <40mW (measured value) |
| AI Detection Distance | Relies on PIR (<10m) | 30m (day) / 20m (night) |
| False Alarm Rate | 30% (environmentally sensitive) | <5% (filtered by smart algorithms) |
| Storage Efficiency | High-frequency writes | Dynamic bitrate compression (saves 50%) |
3. Core Technology Breakthroughs
- SmartAOV™ 2.0 Technology
Paired with a low-power sensor to support 1 fps ultra-low-power recording. Features built-in 16x gain AWB and Lightbox IR® technology, increasing quantum efficiency in low-light conditions by 1.6x. - AI-ISP Fusion
Outputs full-color images in 0.001 Lux illumination through 3D noise reduction and dynamic range processing, replacing traditional infrared illumination solutions.
4. Typical Application Scenarios
- Outdoor Security: Achieves 15 days of battery life without sun using a 5W solar panel and a dual-cell battery configuration. Its IP68 rating allows it to operate in environments from -40°C to 70°C.
- Smart Home: Supports human and vehicle classification and abnormal behavior detection with a false alarm rate below 5%, improving storage efficiency by 2x.
AOV 3.0
AOV 3.0 evolves surveillance from “passive recording” to “proactive alerting” through the deep fusion of holographic perception and edge intelligence.
1. Revolutionary Technical Architecture
- Holographic Perception System
Utilizes multi-modal sensor fusion (vision + depth information + thermal imaging + audio) to achieve 3D environmental modeling and voiceprint feature extraction. It supports full-color imaging in 0.001 Lux illumination and an effective monitoring distance of 30 meters. - Edge Computing Chip
Integrates an NPU with 3 TOPS of computing power, supporting acceleration for Transformer models. This enables localized, real-time behavior analysis (e.g., >98% accuracy in abnormal motion recognition).
2. Key Performance Indicators
| Metric | AOV 2.0 Solution | AOV 3.0 Solution |
|---|---|---|
| Standby Power Consumption | <40mW | 1mW (in audio-wake-up mode) |
| AI Detection Distance | 30m (day) / 20m (night) | 50m (with multi-modal fusion) |
| Response Latency | <200ms | <50ms (optimized by edge computing) |
| Storage Efficiency | Dynamic bitrate compression (saves 50%) | Super Encoding 2.0 (saves 70%) |
3. Core Technology Breakthroughs
- AOA (Audio-on-Alert) Audio-Video Co-trigger
Adds low-power audio event detection (e.g., dog barking, glass breaking), reducing standby power consumption to just 1mW with a false alarm rate of <1%. - AI-ISP 2.0 Engine
A dedicated hardware-level ISP supports 16-bit RAW processing. Combined with AI Remosaic technology, it achieves ultra-low-light full-color imaging, replacing traditional infrared illumination solutions.
4. Typical Application Scenarios
- Urban Security: After deployment in key areas, a pilot city reported a 37% decrease in its crime rate.
- Industrial Inspection: Predicts equipment failures through thermal imaging and vibration analysis, reducing maintenance costs by 45%.
- In-Vehicle Monitoring: Supports 6-DOF image stabilization and four-camera panoramic stitching, increasing the storage efficiency of dashcams by 3x.