Automotive: Real-Time Object Detection on Edge Devices
An automotive tech company building high-speed sensor systems for autonomous and assisted driving. We supported their development with edge-optimized AI models, FPGA integration, and safety-compliant protocols.
Industry
Automotive, Autonomous Systems, Edge AI
Project Type
AI Model Development, Embedded Systems, Safety Compliance
Automotive: Real-Time Object Detection on Edge Devices
An automotive tech company building high-speed sensor systems for autonomous and assisted driving. We supported their development with edge-optimized AI models, FPGA integration, and safety-compliant protocols.
Industry
Automotive, Autonomous Systems, Edge AIProject Type
AI Model Development, Embedded Systems, Safety ComplianceProject Challenges
The client needed compact, low-latency AI models and compliance with automotive-grade standards.
Training Data Annotation at Scale
Required large datasets with consistent, high-quality labeling for supervised learning.
Low-Latency Edge Deployment
Models needed to operate in real-time on FPGA-based systems under strict latency limits.
Safety & Standards Compliance
Product had to meet ISO 26262 and ASPICE process requirements for automotive safety.
Smart Solutions
We delivered optimized algorithms, deployment toolchains, and structured documentation workflows.
Compact AI for FPGA
Designed and implemented lightweight models suitable for high-speed inference on edge devices.
Compliant Development Framework
Ensured ASPICE and ISO 26262 alignment through rigorous documentation and process adherence.
Accelerated Productization
Reduced development time by 3.5 months through toolchain optimization and efficient collaboration.
Results & Impact
Our contributions helped the client fast-track a safety-compliant object detection system ready for market integration.
Real-Time Edge Deployment
Delivered functional models capable of live object detection on FPGA systems.
Compliance Achieved
Met strict automotive standards to support regulatory approvals and integration readiness.
3.5 Months Faster Delivery
Accelerated go-to-market timeline while maintaining quality and safety benchmarks.
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