Changing environment
Strong light, backlight, rain, fog, dust, vibration and night conditions affect recognition.
Industry Vision Solution / JISHIKEJI
Engineering Machinery and Outdoor Vision SolutionVision System Development and Delivery
For ports, lifting, tunnels, bridges, mines, roadwork and outdoor equipment, the solution covers target recognition, area perception, smoke/dust recognition, pose judgement, edge inference and data records.
Outdoorlight / rain fog / dust
Machinerypose / area / status
Operationtarget / path / safety
Edgelocal inference / record
Engineering Machinery and Outdoor Vision Solution / JIVISION
Industry Issues
Discuss Project →Typical Challenges
The solution is organized around business requirements, system modules, technical route and onsite delivery boundaries.
Complex machine motion
Lifting, travel, rotation and extension actions require area and pose judgement.
Unstable onsite network
Outdoor equipment often needs local inference and offline buffering.
Clear safety boundaries
Target scope, alarm rules, manual review and responsibility boundaries need project confirmation.
Solution Modules
Deployable Vision System Modules
Modules cover imaging, algorithms, software, interfaces, data and onsite maintenance so implementation scope can be defined clearly.
01
Outdoor imaging adaptation
Use exposure, lighting, protection, mounting and enhancement to improve usable images.
02
Target and area recognition
Recognize people, vehicles, obstacles, boundaries, equipment and operation zones.
03
Machinery pose judgement
Recognize spreader, boom, fixture, passage and operation status.
04
Smoke/dust and abnormal events
Recognize smoke, dust, occlusion, staying and abnormal changes.
05
Edge deployment
Run inference on vehicle IPCs, edge boxes or local servers.
06
Data record and return
Store images, clips, location, time and event status.
Applications
Applicable Scenarios
The solution maps typical stations, equipment, production lines and business scenarios.
Port and lifting
Recognize gantry crane, spreader, vehicles, operation zones and long-tail samples.
Tunnel and bridge construction
Recognize equipment, people, passages, obstacles and risk zones.
Mining and roadwork
Recognize machinery operation, smoke/dust, vehicle passage and safety areas.
Outdoor mobile equipment
Edge inference, event records and offline buffering.
Outdoor point evaluation
Imaging protection plan
Target recognition model
Edge inference deployment
Event record module
Data return interface
Before implementation, prepare inspection-object images or videos, qualified and defective samples, cycle-time requirements, installation space, communication interfaces and acceptance criteria. JIVISION will define the technical route, risk boundary and delivery scope based on samples and site conditions.
Implementation Path
From Scenario Review to Onsite Deployment
Each solution is implemented in stages based on inspection objects, onsite environment, hardware constraints and acceptance criteria.
01
Scenario ReviewProcess, targets and onsite environment02
Sample AnalysisImages, videos, good/bad samples and hard cases03
Solution DesignCameras, lighting, algorithms, platform and interfaces04
ValidationSample testing, metric review and risk confirmation05
IntegrationHardware/software debugging and interface connection06
IterationOnsite debugging, acceptance and data feedbackFAQ
Common Questions
These questions focus on scenarios, technical routes and implementation boundaries.
Is outdoor vision affected by weather?
Yes. Imaging and algorithm strategies should be designed according to light, rain, fog, dust and installation conditions.
Can engineering machinery scenarios use local recognition?
Yes. Models can be deployed on vehicle IPCs, edge boxes or local servers and return results according to network conditions.
How is outdoor recognition validated?
Use onsite samples across time periods, typical abnormal samples and continuous operation records.
Contact
Submit Your Engineering Machinery and Outdoor Vision Solution Requirement
Please provide the industry scenario, inspection target, speed and accuracy requirements, onsite environment, interface systems and available image or video samples.